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检索条件"主题词=change detection algorithms"

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A novel algorithm of adaptive background estimation

A novel algorithm of adaptive background estimation

引用

IEEE International Conference on Image Processing

作者： Da-shan Gao Jie Zhou Le-ping Xin State Key Laboratory of Intelligent Technology and Systems Department of Automation Tsinghua University Beijing China

ISBN: (纸本)0780367251

We propose an adaptive background estimation algorithm for an outdoor video surveillance system. In order to enhance the ability of adaptation to illumination changes and variant noise in long-term running, an improved Kalman filtering model based on the local-region is discussed to dynamically estimate a background image, in which the parameters are predicted by a recursive-least-square adaptive filter. The experimental results on real-world video show that the algorithm can perform robustly and effectively.

关键词： Lighting Adaptive filters Vehicle detection Pixel Kalman filters Filtering Recursive estimation change detection algorithms Video surveillance Background noise

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A Video Coding Scheme With A High Compression Ratio For Consumer Digital VCRs

A Video Coding Scheme With A High Compression Ratio For Cons...

引用

IEEE International Conference on Consumer Electronics (ICCE)

作者： N. Yanagihara C. Siu K. Kanota Y. Kubota Advanced Development Department Consumer Video Development Group Sony Corporation

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A New Real-Time Eye Tracking for Driver Fatigue detection

A New Real-Time Eye Tracking for Driver Fatigue Detection

引用

International Conference on ITS Telecommunications (ITST)

作者： Zutao Zhang Jiashu Zhang School of Mechanical Engineering Southwest Jiaotong University Chengdu China Sichuan Key Laboratory of Signal and Information Processing Southwest Jiaotong University Chengdu China

Driver fatigue is one of the important factors that cause traffic accidents. The vision-based facial expression recognition technique is the most prospective method to detect driver fatigue. In this paper, we present a new driver fatigue detection based on unscented Kalman filter and eye tracking in this paper. The face is located using Haar algorithm firstly, which has good robustness in terms of head motions, variable lighting conditions, the change of hair and having glasses, etc. Secondly, the geometric properties and projection technique are used for eye location. Thirdly, we propose a new real time eye tracking method based on unscented Kalman Filter. Finally, driver fatigue can be detected whether the eyes are closed over 5 consecutive frames using vertical projection matching. The experimental results show validity of our method for driver fatigue detection under variable realistic conditions

关键词： Fatigue Face detection Eyes Road accidents Robustness Face recognition change detection algorithms Hair Glass Target tracking

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Real-time adaptive background segmentation

Real-time adaptive background segmentation

引用

International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： D. Butler S. Sridharan V.M.Jr. Bove Queensland University of Technology Brisbane Australia MIT Media Laboratory Cambridge MA USA

Automatic analysis of digital video scenes often requires the segmentation of moving objects from the background. Historically, algorithms developed for this purpose have been restricted to small frame sizes, low frame rates or offline processing. The simplest approach involves subtracting the current frame from the known background. However, as the background is unknown, the key is how to learn and model it. The paper proposes a new algorithm that represents each pixel in the frame by a group of clusters. The clusters are ordered according the likelihood that they model the background and are adapted to deal with background and lighting variations. Incoming pixels are matched against the corresponding cluster group and are classified according to whether the matching cluster is considered part of the background. The algorithm has been subjectively evaluated against three other techniques. It demonstrates equal or better segmentation than the other techniques and proves capable of processing 320/spl times/240 video at 28 fps, excluding post-processing.

关键词： Layout Australia Cameras Communication industry Object detection Degradation change detection algorithms Laboratories USA Councils Large-scale systems

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PETS Metrics: On-Line Performance Evaluation Service

PETS Metrics: On-Line Performance Evaluation Service

引用

Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance

作者： D.P. Young J.M. Ferryman Computational Vision Group Department of Computer Science University of Reading Reading UK

This paper presents the PETS Metrics On-line Evaluation Service for computational visual surveillance algorithms. The service allows researchers to submit their algorithm results for evaluation against a set of applicable metrics. The results of the evaluation processes are publicly displayed allowing researchers to instantly view how their algorithm performs against previously submitted algorithms. The approach has been validated using seven motion segmentation algorithms.

关键词： Positron emission tomography Surveillance Testing Computer vision Conferences Motion segmentation Videoconference change detection algorithms Computer science Performance evaluation

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Planar subarray processing for SAR imaging

Planar subarray processing for SAR imaging

引用

IEEE International Conference on Radar

作者： R.P. Perry R.C. DiPietro B.L. Johnson A. Kozma J.J. Vaccaro Mitre Corporation Bedford MA USA The MITRE Corporation McLean VA US Mitre Corp. Bedford MA USA

A new multiresolution SAR image formation algorithm called planar subarray processing, PSAP, is presented. The PSAP provides the capability to perform intermediate decisions using lower resolution image data to redirect the remaining processing functions. These intermediate decisions can include, target detection, change detection, super resolution, and moving target parameter estimation. The PSAP algorithm has a tree like flow structure using small cascaded FFT stages making it suitable for parallel processor implementation.

关键词： Radar polarimetry Image resolution Radar antennas Frequency Equations Radar scattering Azimuth Surveillance Radar imaging change detection algorithms

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Two stage motion-based region merging algorithm for content-based coding

Two stage motion-based region merging algorithm for content-...

引用

IEEE Region 10 International Conference TENCON

作者： Kun-Woen Song Ho-Young Lee Department of Electronics Engineering Ui-Duk University Kyongju South Korea School of Electronic and Electrical Engineering Kyungpook National University Taegu South Korea

We propose a two stage motion-based region merging algorithm for content-based coding. It uses a six-parameter motion model and the change image obtained from the conventional change detector. First, the type of each region is decided as one of an object, background and uncertain region using the change image. In the first region merging stage, all pairs of two adjacent object regions and two adjacent regions are extracted. Affine motion model parameters for each pair are computed. Then, the merging for one pair that has the smallest error is performed for each type. In particular a large threshold value is used to efficiently merge many redundant regions segmented in the background. In the second region merging stage, the merging for the adjacent uncertain regions or adjacent regions of different types are performed with the same procedure as that of the first stage. A small threshold value is used to merge the extracted adjacent regions which are represented with homogeneous motion parameters while preventing the merging of adjacent object region and background region in the wide range of the threshold value. From the experimental results the proposed merging algorithm is shown to efficiently reduce many redundant regions into one or a few regions in the wide range of the threshold value.

关键词： Merging Motion measurement change detection algorithms Motion detection Detectors Bit rate Shape Image segmentation Image converters Motion estimation

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Multi-robot perimeter patrol in adversarial settings

Multi-robot perimeter patrol in adversarial settings

引用

IEEE International Conference on Robotics and Automation (ICRA)

作者： Noa Agmon Sarit Kraus Gal A. Kaminka Department of Computer Science Bar-llan University Israel

This paper considers the problem of multi-robot patrol around a closed area with the existence of an adversary attempting to penetrate into the area. In case the adversary knows the patrol scheme of the robots and the robots use a deterministic patrol algorithm, then in many cases it is possible to penetrate with probability 1. Therefore this paper considers a non-deterministic patrol scheme for the robots, such that their movement is characterized by a probability p. This patrol scheme allows reducing the probability of penetration, even under an assumption of a strong opponent that knows the patrol scheme. We offer an optimal polynomial-time algorithm for finding the probability p such that the minimal probability of penetration detection throughout the perimeter is maximized. We describe three robotic motion models, defined by the movement characteristics of the robots. The algorithm described herein is suitable for all three models.

关键词： Frequency Polynomials Monitoring Robotics and automation USA Councils Computer science Robot motion change detection algorithms Robot sensing systems Security

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A Fast, Comprehensive Shot Boundary Determination System

A Fast, Comprehensive Shot Boundary Determination System

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Zhu Liu David Gibbon Eric Zavesky Behzad Shahraray Patrick Haffner AT and T Research Laboratories USA Electrical Engineering Columbia University USA

The proposed shot boundary determination (SBD) algorithm contains a set of finite state machine (FSM) based detectors for pure cut, fast dissolve, fade in, fade out, dissolve, and wipe. Support vector machines (SVM) are applied to the cut and dissolve detectors to further boost performance. Our SBD system was highly effective when evaluated in TRECVID 2006 (TREC video retrieval evaluation) and its performance was ranked highest overall.

关键词： Detectors Gunshot detection systems Feature extraction Automata Histograms Support vector machines Indexing change detection algorithms Layout Motion compensation

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An Algorithm on Collision detection by Computing the Minimum Distance between Two Convex Polyhedra

An Algorithm on Collision Detection by Computing the Minimum...

引用

World Congress on Intelligent Control and Automation (WCICA)

作者： Hanjun Jin Yanlin Wang Xiaorong Wang Jia Fu Department of Computer Science Central China Normal University Wuhan Hubei China

The problem of tracking the distance between two convex polyhedra is finding applications in many areas of robotics, including intersection detection, collision detection, and path planning. An algorithm for computing the minimum distance between two convex polyhedra is presented. The algorithm applies to polyhedral objects that can be represented as convex hulls of its vertex value in three-dimensional space. Nonlinear programming techniques are then employed to compute the minimum distance between two convex polyhedra, and according to the minimum distance, it can conclude whether or not the objects has collided at some time. The simulation results demonstrate the performance of this new method

关键词： Object detection change detection algorithms Inference algorithms Computer science Application software Orbital robotics Path planning Robot programming Computational modeling Virtual environment

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