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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Keju, Zu Fuqiang, Liu Zhipeng, Li Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9781424441310

When the high occlusion occurs in crowded scene, face detection is a better substitute for detecting pedestrian. In this paper, we present a novel crowd analysis method based on discriminative descriptor of faces and support vector machine SVM ensemble. Through manipulating the input features in the same sample set, the different input features of faces are extracted to train two SVM classifiers. The classification scores of two generated classifiers are combined adaptively to make a collective decision. The first SVM, as the principal classifier gives out most of face hypotheses, while the second SVM serves as secondary one to rejecting the false positive. We present experiment to test the proposed method in crowded subway video, and the result shows that the SVM ensemble outperforms the single SVM in counting the pedestrian. ©2009 IEEE.

关键词： Face recognition

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Real-time stereovision approach of object detection for driving assistance

Real-time stereovision approach of object detection for driv...

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2009 2nd International Congress on Image and Signal Processing, CISP'09

作者： Chao, Xu Fuqiang, Liu Zhipeng, Li Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9781424441310

This paper will present an obstacle detection approach that relies on the three-dimensional information from stereo vision. Concerning real-time response of the system and high accuracy of the reconstructed points, instead of the traditional stereo matching, a new way that combines three-dimensional features with wavelet-based hierarchical technique is proposed to decrease the computational cost and maintain its credibility. The matched points are selected for grouping into objects, based on neighborhood criteria, depth distance and the point density. Our system is able to reliably detect the far distance moving objects and function in real time. ©2009 IEEE.

关键词： Stereo vision

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Research on road topology based mobility prediction schemes

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High Technology Letters 2007年第2期13卷 140-144页

作者：陈林 Chen Hongzhong Jiang Changjun Key Lab of Embedded System and Service Computing of the Ministry of Education Department of Computer Science and Technology Tongji University Shanghai 201804 P.R.China

Geographic routing has been introduced in mobile ad hoc networks and sensor networks. But its per-formance suffers greatly from mobility-induced location errors that can cause Lost Link （LLNK） and LOOP problems. Thus various mobility prediction algorithms have been proposed to mitigate the errors, but sometimes their prediction errors are substantial. A novel mobility prediction technique that incorpo-rates both mobile positioning information and road topology knowledge was presented. Furthermore, the performance of the scheme was evaluated via simulations, along with two other schemes, namely, Linear Velocity Prediction （LVP） and Weighted Velocity Prediction （WVP） for comparison purpose. The results of simulation under Manhattan mobility model show that the proposed scheme could track the movement of a node well and hence provide noticeable improvement over LVP and MVP.

关键词： geographic muting mobility prediction road topology shortest path Manhattan mo-bility model

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A Behavioral Authentication Method for Mobile Based on Browsing Behaviors

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IEEE/CAA Journal of Automatica Sinica 2020年第6期7卷 1528-1541页

作者： Dongxiang Chen Zhijun Ding Chungang Yan Mimi Wang Department of Computer Science and Technology Tongji UniversityShanghai 201804China Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji UniversityShanghai 201804China IEEE

The passwords for unlocking the mobile devices are relatively simple,easier to be stolen,which causes serious potential security *** important research direction of identity authentication is to establish user behavior models to authenticate *** this paper,a mobile terminal APP browsing behavioral authentication system architecture which synthesizes multiple factors is *** architecture is suitable for users using the mobile terminal APP in the daily *** architecture includes data acquisition,data processing,feature extraction,and sub model *** can use this architecture for continuous authentication when the user uses APP at the mobile terminal.

关键词： Behavioral authentication browsing behaviors mobile device multiple factors

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An improved foreground object detection method based on Gaussian mixture models

An improved foreground object detection method based on Gaus...

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International Conference on Multimedia Communications

作者： Zhang, Xiayi Liu, Fuqiang Li, Zhipeng Key Laboratory of Embedded System and Service Computing Tongji University Shanghai China

ISBN: (纸本)9780769541365

Statistical background subtraction has proved to be a robust and effective approach for segmenting and extracting objects without any prior information of the foreground objects. This paper presents two contributions on this topic. The first contribution of this paper proposes a novel approach which introduces the motion mask into the Gaussian Mixture Models to reduce the errors of classical GMMs, which always classifies the moving objects as background incorrectly, and affects the accuracy of the steps followed by, when the objects are still in long periods. The second contribution regards the connected component labeling based on the contour tracking algorithm. Experimental results validate the effectiveness of the proposed approach. © 2010 IEEE.

关键词： Object recognition

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A Reduced Reachability Tree for a Class of Unbounded Petri Nets

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IEEE/CAA Journal of Automatica Sinica 2015年第4期2卷 345-352页

作者： Shouguang Wang Mengdi Gan Mengchu Zhou Dan You School of Information and Electronic Engineering Zhejiang Gongshang University State Key Laboratory for Manufacturing Systems Engineering Xi’an Jiaotong University Ministry of Education(MoE)Key Laboratory of Embedded System and Service Computing Tongji University MoE Key Laboratory of Embedded System and Service Computing Tongji University Department of Electrical and Computer Engineering New Jersey Institute of Technology

As a powerful analysis tool of Petri nets, reachability trees are fundamental for systematically investigating many characteristics such as boundedness, liveness and reversibility. This work proposes a method to generate a reachability tree, called ωRT for short, for a class of unbounded generalized nets called ω-independent nets based on new modified reachability trees (NMRTs). ωRT can effectively decrease the number of nodes by removing duplicate and ω-duplicate nodes in the tree, and verify properties such as reachability, liveness and deadlocks. Two examples are provided to show its superiority over NMRTs in terms of tree size. © 2014 Chinese Association of Automation.

关键词： Petri nets

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Efficient Rate Control Algorithm for Hierarchical Video Coding

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Journal of Donghua University(English Edition) 2012年第3期29卷 222-226页

作者：陆千里岑锋许维胜朱芳来 The Key Laboratory of Embedded System and Service Computing Ministry of EducationTongji University Department of Control Science&Engineering Tongji University

For rate control (RC) of hierarchical structure coding, an independent rate-quantization (R-Q) model was proposed based on mean absolute differences (MADs) in different temporal levels (TLs). In the proposed R-Q model, a novel MAD model was developed according to the hierarchical structure. The experimental results demonstrate that the proposed algorithm provides better performance, in terms of average peak signal-to-noise ratio (PSNR) and quality smoothness, than the H.264 reference model, JM14.2, under various sequences.

关键词： rate-quantization (R-Q) model rate control(RC) video coding peak signal-to-noise ratio (PSNR) hierarchical structure

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Neighborhood Extended Dynamic Graph Neural Network 2022

Neighborhood Extended Dynamic Graph Neural Network

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14th International Conference on Machine Learning and computing, ICMLC 2022

作者： Yu, Da Wang, Junli Jiang, Changjun Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University China

ISBN: (纸本)9781450395700

Representation learning on dynamic graphs has drawn much attention due to its ability to learn hidden relationships as well as capture temporal patterns in graphs. It can be applied to represent a broad spectrum of graph-based data like social networks and further use the learned representations to solve the downstream tasks including link prediction and edge classification. Although some approaches have been proposed for dynamic graphs in recent years, most of them paid little attention to the evolution of the entire graph topology, leading to the lack of global information of what happened in nodes' neighborhoods during their update. We propose NEDGNN, a novel Neighborhood Extended Dynamic Graph Neural Network on dynamic graphs represented as sequences of time-stamped events. We introduce a temporal attention propagation module to generate messages for n-hop neighbors through a self-attention mechanism, which can help disseminate information among nodes' n-hop neighbors. Besides, a FIFO message box module is also applied to gain some time efficiency. Due to the introduction of these modules, NEDGNN outperforms many state-of-the-art baselines in several tasks. We also perform a detailed ablation study to test the effectiveness and time cost of each module. © 2022 ACM.

关键词： Graph neural networks

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A metadata management strategy based on event-classification in intelligent transportation system 15th

A metadata management strategy based on event-classification...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Su, Yayun Zhang, Yaying Key Laboratory of Embedded System and Service Computing Tongji University Shanghai200092 China

ISBN: (纸本)9783319271187

With the explosive growth of data information, the object-oriented storage system has been widely used. This paper proposed a metadata management strategy based on Distributed File system-Ceph in terms of event classification, taking advantage of the characteristics of data in urban traffic system. The large amount of data with a wide variety of sources and data types was first classified by machine learning, and a classification model was established. Then, improvements on load balancing were made to the existing Ceph Load Balancing Strategy of metadata partition. The metadata partitioning is to assign and migrate metadata obtained from the event classification model to the target server chosen by the fuzzy optimum method. Experimental results show that the proposed load balancing strategy based on event classification can not only make the overall load of the metadata servers in a relatively stable state but also make the migration times less than that of other algorithms. The extra overhead of the system is also reduced. © Springer International Publishing Switzerland 2015.

关键词： Metadata

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A novel storing and accessing method of traffic incident video based on spatial-temporal analysis 15th

A novel storing and accessing method of traffic incident vid...

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15th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2015

作者： Zhang, Yaying Zhu, Yinyin Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China

ISBN: (纸本)9783319271217

Hadoop Distributed File system (HDFS) is a reliable and scalable data storage solution. However, it has great weakness in storage of the numerous small files. A merging method of small video files containing traffic incidents is proposed to improve the HDFS storage efficiency of small files. As traffic incident videos can be classified in terms of time and the crossroad where the incident happens, the proposed method merges video files together by time and region (usually adjacent crossroads). Indexing mechanism has been improved in later searching for small video files. The whole HDFS file block related to specific incidents will be read out to local cache. The experimental results show that when accessing for traffic incidents by region in certain period, the average search time and the memory load of HDFS NameNode will be effectively reduced. © Springer International Publishing Switzerland 2015.

关键词： Storage efficiency

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