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检索条件"机构=Digital Performance and Simulation Technology Laboratory"

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Bit @ TRECVID SED 2013

Bit @ TRECVID SED 2013

引用

2013 TREC Video Retrieval Evaluation, TRECVID 2013

作者： Zhao, Yicheng Gan, Binjun Tang, Shuo Liu, Jing Li, Xiaoyu Li, Yulong Qu, Qianqian Yang, Xuemeng Zhang, Longfei Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology China

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Trajectory-BERT: Pre-training and fine-tuning bidirectional transformers for crowd trajectory enhancement

Trajectory-BERT: Pre-training and fine-tuning bidirectional ...

引用

作者： Li, Lingyu Huang, Tianyu Li, Yihao Li, Peng Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing China

To address the issue of trajectory fragments and ID switches caused by occlusion in dense crowds, we propose a space-time trajectory encoding method and a point-line-group division method to construct Trajectory-BERT in this paper. Leveraging the spatiotemporal context-dependent features of trajectories, we introduce pre-training and fine-tuning Trajectory-BERT tasks to repair occluded trajectories. Experimental results show that data augmented with Trajectory-BERT outperforms raw annotated data on the MOTA metric and reduces ID switches in raw labeled data, demonstrating the feasibility of our method. © 2023 John Wiley & Sons Ltd.

关键词： Trajectories

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Deep Learning Improved Social Force Model to Simulate Crowd in Varying Scenes 7

Deep Learning Improved Social Force Model to Simulate Crowd ...

引用

7th International Conference on Advanced Algorithms and Control Engineering, ICAACE 2024

作者： Yan, Dapeng Bai, Chongzhi He, Lian Ding, Gangyi Key Laboratory Of Digital Performance And Simulation Technology Beijing Institute Of Technology Beijing China

ISBN: (纸本)9798350361445

Traditional social force models are capable of simulating various types of crowds, but due to their reliance on a single formula and simplified parameter control, they often lack realism when applied to crowd scenes. The integration of deep learning with social force models has already achieved success in pedestrian simulation tasks in specific scenarios, yet research in more generalized scenes is still lacking. Therefore, we have used deep learning in conjunction with social force models to construct crowd simulations in various scenarios. This model is based on the dynamics of crowd trajectories and refines key parameters of the social force model using deep learning methods. Experimental results prove that this model can effectively adapt to diverse environments different from the scenes on which the training data is based. © 2024 IEEE.

关键词： Deep learning

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A new method for content-based image retrieval via subsets of key contours fragments

引用

2012 2nd International Conference on Materials Science and Information technology, MSIT 2012

作者： Chuanqi, Tan Yufeng, Chen Fengxia, Li Zhizhong, Yang Beijing Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of technology Beijing 100081 China

ISBN: (纸本)9783037854389

In this paper, a novel method is proposed for solving an open problem of shape matching in content-based image retrieval. In order to prepare for matching two images, our novel method uses an improved segment method to get more accurate contours. And then we find a new way to extract the key contour fragments, so that a shape can be presented as many key contour fragments in this way. It is an effective way to do analysis in image contour. In addition, a similar measure method is proposed to get the correlation rate of two images via subsets of key contour fragments. Finally, experiment results show that our new method can get more robustness than existing methods and achieve a superior matching effect in the standard shape databases MPEG-7. © (2012) Trans Tech Publications, Switzerland.

关键词： Image segmentation

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Bit @ TRECVID 2013: Surveillance event detection

Bit @ TRECVID 2013: Surveillance event detection

引用

2013 TREC Video Retrieval Evaluation, TRECVID 2013

In this paper, we present an event detection system evaluated in TRECVid 2013. We investigated a generic statistical approach with spatio-temporal features applied to the event "Object Put". This approach is based on local spatial constrained spatio-temporal descriptors, named as SC-MoSIFT. We extended the spatio-temporal features, MoSIFT, by relative position to camera. We also statistic the frequency and the location of each event occurs, and use selective hot region to construct spatial Bag-of-Feature. Non-linear SVM is exploited to train classifier for each event on each camera. In the limited experimental time, we adopted experiments and got comparable results to show the effectiveness of our approach. © 2013 TREC Video Retrieval Evaluation, TRECVID 2013. All rights reserved.

关键词： Cameras

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A terrain matching method for irregular military symbols based on the simplification of control points

A terrain matching method for irregular military symbols bas...

引用

International Workshop on digital Media and digital Content Management, DMDCM 2011

作者： Li, Fengxia Zhang, Qingyi Jie, Fei Beijing Key Laboratory of Digital Performance and Simulation Technology School of Computer Science and Technology Beijing Institute of Technology Beijing 100081 China

ISBN: (纸本)9780769544137

To realize the real-time rendering for regular and irregular military symbols, it proposed a terrain matching method based on the simplification of control points. The elevation values of the irregular military symbols were obtained primarily in the method. Then the elevation curve was differentiated and smoothed for times. And the final control points were obtained after the merging the initial control points. The corresponding three-dimensional model was generated after plotting on two-dimensional electronic map with the method. Experimental results showed that the model could guarantee real-time matching and obtain better matching results. The military symbols reflected terrain undulation well, thus displayed information of battlefield situation more precisely. © 2011 IEEE.

关键词： Arrays Equations Mathematical model Merging Military computing Process control Solid modeling collision detection irregular military symbols terrain matching

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A Method of Constructing Fine-Grained Pose Evaluation Model 1

引用

18th International Conference on Intelligent Information Hiding and Multimedia Signal Processing, IIH-MSP 2022

作者： Song, Zhen Zhang, Longfei Li, Haoyu Wu, Yufeng Ding, Gangyi Advanced Research Center for Digitalization of Traditional Drama of The Central Academy of Drama Beijing100710 China Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing100081 China

ISBN: (数字)9789819901050

ISBN: (纸本)9789819901043

In the field of computer vision, human pose estimation (HPE) is an important direction. However, in some fields that require professional actions or motions, researchers will deal with poses with high diversity, strongly instantaneous actions and complex behaviors, and with problems such as lack of enough dataset, algorithm iteration lag, and poor robustness, it is difficult for conventional CV methods to recognize many kinds of poses well. Aiming to the problems above, we propose a method of training fine-grained pose estimation model and building pose dataset based multi-views in this paper. And during the work, we use the operation of filtering as optimization approach to improve the accuracy of results. By filtering data, those wrongly recognized key points can be corrected to some extent and the missing key points or poses can be estimated based on the continuity of motion. The filter method can also improve the smoothness of curve, so the pose sequences can be more fluent and conform the kinetics after the operation. Meanwhile, there sometimes may be errors about the results of 3D pose reconstruction based on 2D pose because of occlusions, changes of environment. In this situation, choosing 2D pose results from appropriate views instead of all the views can also improve the accuracy of final results. Moreover, for the environment with several persons, we finish the work of matching human cross-different views by combining with the method of predicting depths of root key points. From the experiments, the method can increase the average precision (AP) up to 2.2%, which demonstrate the feasibility and reusability of our method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Reusability

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Deep Learning Improved Social Force Model to Simulate Crowd in Varying Scenes

Deep Learning Improved Social Force Model to Simulate Crowd ...

引用

Advanced Algorithms and Control Engineering (ICAACE), International Conference on

作者： Dapeng Yan Chongzhi Bai Lian He Gangyi Ding Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9798350361445

ISBN: (纸本)9798350361452

关键词： Deep learning Training Adaptation models Pedestrians Force Training data Emergency services

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SES-SFM: A Heterogeneous Crowd simulation Model with Emotional Contagion

SES-SFM: A Heterogeneous Crowd Simulation Model with Emotion...

引用

Electronic technology and Information Science (ICETIS), International Conference on

作者： Chongzhi Bai Jiahui Lv Dapeng Yan Yunru Zhang Gangyi Ding Key Laboratory of Digital Performance and Simulation Technology Beijing Institute of Technology Beijing China

ISBN: (数字)9798350388343

ISBN: (纸本)9798350388350

Addressing the issues of authenticity and complexity that are lacking in current homogenized crowd models, as well as the insufficiency in granularity of emotional heterogeneity methods leading to a lack of diversity, this paper proposes a heterogeneous crowd modeling approach. Referred to the Susceptible Infected Susceptible (SIS) model, a fine-grained emotional contagion model: Susceptible Emotional Susceptible (SES) is introduced. Combined the A * navigation algorithm, it is integrated with existing crowd modeling techniques to propose the Susceptible Emotional Susceptible-Social Force Model (SES-SFM). We have demonstrated the sensitivity relationship between the basic reproductive number $RO$ and the parameters within the SES model through our experiments. In comparative experiments, our model demonstrated superior collision resolution capabilities, operated more smoothly, and did not introduce excessive computational overhead when compared to traditional SFM. In simulation experiments, we have established the correlation between emotional factors and crowd behavior, thereby enriching the dynamics of crowd behavior. Consequently, we have made theoretical contributions to the field of crowd modeling techniques and the domain of emotional contagion.

关键词： Analytical models Information science Sensitivity Correlation Navigation Computational modeling Force

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Computational study the effects of venting pressure and ignition location on the fuel-air mixture explosion load in vented chamber 2nd

Computational study the effects of venting pressure and igni...

引用

2nd International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2018

作者： Liang, Xingxing Wang, Zhongqi Li, Pengyi Zhang, Fuquan State Key Laboratory of Explosion Science and Technology Beijing Institute of Technology Beijing100081 China Digital Performance and Simulation Technology Laboratory School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Fujian Provincial Key Laboratory of Information Processing and Intelligent Control Minjiang Univeristy Fuzhou350121 China

ISBN: (纸本)9783030045845

Numerical analysis were performed to study venting explosion load of methane-air in vented chamber. The effects of venting pressure and ignition location on indoor gas explosion overpressure are discussed. The simulation results showed the expected trends are agreed with the experiments in some extent. Several peaks in overpressure were identified along the pressure–time curves. There are two typical peak overpressures in our study. The first peak is due to the vent failure. The second is caused by the external explosion. It’s not a monotonic relationship between the peak overpressure and venting explosion pressure. The influence of the venting pressure on the explosion overpressure is irregular when the venting pressure is less than 10 kPa. Then the explosion overpressure increases with the increase of the venting pressure. The results show that, the maximum peak value of overpressure is shear ignition. But the local overpressure on the pressure relief wall is stronger due to turbulence in central ignition case. Explosion venting process couples the turbulent flow and chemical reaction of combustible medium which is influenced by several parameters. © Springer Nature Switzerland AG 2019.

关键词： Computational fluid dynamics

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