Sequential Monte Carlo Tracking of Body Parameters in a Sub-Space
AMFG '03 Proceedings of the IEEE International Workshop on Analysis and Modeling of Faces and Gestures
Modelling the 3D pose of a human arm and the shoulder complex utilising only two parameters
Integrated Computer-Aided Engineering
Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Spatio-temporal graphical-model-based multiple facial feature tracking
EURASIP Journal on Applied Signal Processing
Bootstrapping sequential monte carlo tracking
SCIA'03 Proceedings of the 13th Scandinavian conference on Image analysis
Integrating the projective transform with particle filtering for visual tracking
Journal on Image and Video Processing - Special issue on advanced video-based surveillance
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Human tracking using multiple-camera-based head appearance modeling
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Fast detection of frequent change in focus of human attention
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
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Particle filtering has attracted much attention due to its robust tracking performance in clutter. However a price to pay for its robustness is the computational cost. Active particle filtering is proposed in this paper. Unlike the traditional particle filtering, every particle in the active particle filtering is first driven to its local maximum of the likelihood before it is weighted. In this case, the efficiency of every particle is improved and the number of required particles is greatly reduced. Actually, the number of particles in the active particle filtering is based more on both the cluttered degree of the environment and the fitting range of every particle than on the size of the model?s configuration space. Extensive experimental results show that the tracker is efficient and robust to track the head undergoing translation and full 360-degree out-of-plane rotation with partial occlusion in cluttered environments.