A survey on vision-based human action recognition
Image and Vision Computing
Graphical framework for action recognition using temporally dense STIPs
WMVC'09 Proceedings of the 2009 international conference on Motion and video computing
A lattice-based neuro-computing methodology for real-time human action recognition
Information Sciences: an International Journal
Robust hierarchical multiple hypothesis tracker for multiple-object tracking
Expert Systems with Applications: An International Journal
Hierarchical multi-channel hidden semi Markov graphical models for activity recognition
Computer Vision and Image Understanding
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Tracking and recognition of objects in video sequences suffer from difficulties in learning appropriate object models. Often a high degree of supervision is required, including manual annotation of many training images. We aim at unsupervised learning ...