The robust estimation of multiple motions: parametric and piecewise-smooth flow fields
Computer Vision and Image Understanding
Automatic gait recognition using area-based metrics
Pattern Recognition Letters
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Silhouette Analysis-Based Gait Recognition for Human Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical Analysis of Dynamic Actions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Combining multiple evidences for gait recognition
ICME '03 Proceedings of the 2003 International Conference on Multimedia and Expo - Volume 3 (ICME '03) - Volume 03
Action Recognition in Broadcast Tennis Video
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 01
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
A general method for human activity recognition in video
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Free viewpoint action recognition using motion history volumes
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Local velocity-adapted motion events for spatio-temporal recognition
Computer Vision and Image Understanding
Recognition of human behavior by space-time silhouette characterization
Pattern Recognition Letters
A differential geometric approach to representing the human actions
Computer Vision and Image Understanding
Computer Vision and Image Understanding
Gait analysis for human identification through manifold learning and HMM
Pattern Recognition
Tracking and recognizing actions of multiple hockey players using the boosted particle filter
Image and Vision Computing
A trajectory-based analysis of coordinated team activity in a basketball game
Computer Vision and Image Understanding
Zernike velocity moments for sequence-based description of moving features
Image and Vision Computing
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Fast human detection based on enhanced variable size HOG features
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
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A novel method for efficient encoding of human body motion, extracted from image sequences is presented. Optical flow field is calculated from sequential images, and the part of the flow field containing a person is subdivided into six segments. For each of the segments, a two dimensional, eight-bin histogram of optical flow is calculated. A symbol is generated, corresponding to the bin with the maximum sample count. Since the optical flow sequences before and after the temporal reference point are processed separately, twelve symbol sequences are obtained from the whole image sequence. Symbol sequences are purged of all symbol repetitions. To establish the similarity between two motion sequences, two sets of symbol sequences are compared. In our case, this is done by the means of normalized Levenshtein distance. Due to use of symbol sequences, the method is extremely storage efficient. It is also performance efficient, as it could be performed in near-realtime using the motion vectors from MPEG4 encoded video sequences. The approach has been tested on video sequences of persons entering restricted area using keycard and fingerprint reader. We show that it could be applied both to verification of person identities due to minuscule differences in their motion, and to detection of unusual behavior, such as tailgating.