Adaptive resolution system for distributed surveillance
Real-Time Imaging
Color active shape models for tracking non-rigid objects
Pattern Recognition Letters - Special issue: Colour image processing and analysis
Design and implementation of visual feedback for an active tracking
Machine Graphics & Vision International Journal
Hands and face tracking for VR applications
Computers and Graphics
Rapid and precise object detection based on color histograms and adaptive bandwidth mean shift
IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
Real time head tracking via camera saccade and shape-fitting
ICIAR'05 Proceedings of the Second international conference on Image Analysis and Recognition
Probabilistic face tracking using boosted multi-view detector
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
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We present an efficient framework for the detection and tracking of human faces with an active camera. The Bhattacharyya coefficient is employed as a similarity measure between the color distribution of the face model and face candidates. The proper derivation of these distributions allows the use of the spatial gradient of the Bhattacharyya coefficient to guide a fast search for the best face candidate. The optimization, which is based on mean shift analysis, requires only a few iterations to converge. Scale changes of the tracked face are handled by exploiting the scale invariance of the similarity measure and the luminance gradient computed on the border of the hypothesized face region. The detection and tracking modules are almost identical; the difference being that the detection involves mean shift optimization with multiple initializations. Our dual-mode implementation of the camera controller determines the pan, tilt, and zoom camera to switch between smooth pursuit and saccadic movements, as a function of the target presence in the fovea region. The resulting system runs in real-time on a standard PC, being robust to partial occlusion, clutter, face scale variations, rotations in depth, and fast changes in subject/camera position.