Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Image sequence description using spatiotemporal flow curves: toward motion-based recognition
Image sequence description using spatiotemporal flow curves: toward motion-based recognition
Towards model-based recognition of human movements in image sequences
CVGIP: Image Understanding
Detection and Recognition of Periodic, Nonrigid Motion
International Journal of Computer Vision
View-Invariant Analysis of Cyclic Motion
International Journal of Computer Vision
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
Human motion analysis: a review
Computer Vision and Image Understanding
Special Section on Video Surveillance
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robust Real-Time Periodic Motion Detection, Analysis, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence
International Journal of Computer Vision - Special issue on a special section on visual surveillance
Pedestrian Detection Using Wavelet Templates
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Moving Target Classification and Tracking from Real-time Video
WACV '98 Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98)
The Gait Identification Challenge Problem: Data Sets and Baseline Algorithm
ICPR '02 Proceedings of the 16 th International Conference on Pattern Recognition (ICPR'02) Volume 1 - Volume 1
Finding Periodicity in Space and Time
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Synchronization of oscillations for machine perception of gaits
Computer Vision and Image Understanding
Stereo- and neural network-based pedestrian detection
IEEE Transactions on Intelligent Transportation Systems
Walking pedestrian recognition
IEEE Transactions on Intelligent Transportation Systems
Visual tracking and recognition using appearance-adaptive models in particle filters
IEEE Transactions on Image Processing
A comprehensive evaluation framework and a comparative study for human detectors
IEEE Transactions on Intelligent Transportation Systems
IEEE Transactions on Image Processing
Combining histograms of oriented gradients with global feature for human detection
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part II
A survey of advances in biometric gait recognition
CCBR'11 Proceedings of the 6th Chinese conference on Biometric recognition
A user-centric control and navigation for augmented virtual environment surveillance application
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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We describe algorithms for detecting pedestrians in videos acquired by infrared (and color) sensors. Two approaches are proposed based on gait. The first employs computationally efficient periodicity measurements. Unlike other methods, it estimates a periodic motion frequency using two cascading hypothesis testing steps to filter out non-cyclic pixels so that it works well for both radial and lateral walking directions. The extraction of the period is efficient and robust with respect to sensor noise and cluttered background. In order to integrate shape and motion, we convert the cyclic pattern into a binary sequence by Maximal Principal Gait Angle (MPGA) fitting in the second method. It does not require alignment and continuously estimates the period using a Phase-locked Loop. Both methods are evaluated by experimental results that measure performance as a function of size, movement direction, frame rate and sequence length.