A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
Real-Time American Sign Language Recognition Using Desk and Wearable Computer Based Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
The visual analysis of human movement: a survey
Computer Vision and Image Understanding
The Recognition of Human Movement Using Temporal Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Appearance-Based Approach to Gesture-Recognition
ICIAP '97 Proceedings of the 9th International Conference on Image Analysis and Processing-Volume II
Recognizing Action at a Distance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Efficient Visual Event Detection Using Volumetric Features
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Multi-Scale Gesture Recognition from Time-Varying Contours
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Action recognition with global features
ICCV'05 Proceedings of the 2005 international conference on Computer Vision in Human-Computer Interaction
A survey on visual surveillance of object motion and behaviors
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Action Recognition Using a Bio-Inspired Feedforward Spiking Network
International Journal of Computer Vision
Bio-inspired Connectionist Architecture for Visual Detection and Refinement of Shapes
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Histograms of optical flow for efficient representation of body motion
Pattern Recognition Letters
GrabcutD: improved grabcut using depth information
Proceedings of the 2010 ACM workshop on Surreal media and virtual cloning
Bio-inspired architecture for human detection
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part I
Recognizing human actions using NWFE-based histogram vectors
EURASIP Journal on Advances in Signal Processing - Special issue on video analysis for human behavior understanding
Augmenting video surveillance footage with virtual agents for incremental event evaluation
Pattern Recognition Letters
Survey on classifying human actions through visual sensors
Artificial Intelligence Review
Automatic imitation assessment in interaction
HBU'12 Proceedings of the Third international conference on Human Behavior Understanding
Detecting pedestrians on a Movement Feature Space
Pattern Recognition
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In this study, a method for human action recognition is proposed. Only one camera is used, without calibration. Viewpoint invariance is obtained by several acquisitions of the same action. The originality of the method consists in characterizing each sequence globally, to enhance the robustness. After detection of moving areas throughout each image, a binary volume is obtained, composed by all the silhouettes of the moving person. This space-time volume is characterized by a vector of its 3D geometric moments. These moments are normalized to be invariant to the position, scale and duration of actions. Action recognition is then carried out using a nearest neighbor classifier based on Mahanalobis distance. Results are presented on a base of 1614 sequences performed by seven persons and categorized in eight actions.