Three-dimensional motion computation and object segmentation in a long sequence of stereo frames
International Journal of Computer Vision
International Journal of Computer Vision
Active vision
Model-based object tracking in monocular image sequences of road traffic scenes
International Journal of Computer Vision
Pfinder: Real-Time Tracking of the Human Body
IEEE Transactions on Pattern Analysis and Machine Intelligence
Model-Based Localisation and Recognition of Road Vehicles
International Journal of Computer Vision
CONDENSATION—Conditional Density Propagation forVisual Tracking
International Journal of Computer Vision
Learning Patterns of Activity Using Real-Time Tracking
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
Real-Time Tracking of Moving Persons by Exploiting Spatio-Temporal Image Slices
IEEE Transactions on Pattern Analysis and Machine Intelligence
W4: Real-Time Surveillance of People and Their Activities
IEEE Transactions on Pattern Analysis and Machine Intelligence
ASSET-2: Real-Time Motion Segmentation and Shape Tracking
IEEE Transactions on Pattern Analysis and Machine Intelligence
Statistical background modeling for non-stationary camera
Pattern Recognition Letters
Colour Model Selection and Adaption in Dynamic Scenes
ECCV '98 Proceedings of the 5th European Conference on Computer Vision-Volume I - Volume I
Skin-Color Modeling and Adaptation
ACCV '98 Proceedings of the Third Asian Conference on Computer Vision-Volume II
Integrated Person Tracking Using Stereo, Color, and Pattern Detection
CVPR '98 Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
WACV '96 Proceedings of the 3rd IEEE Workshop on Applications of Computer Vision (WACV '96)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
Democratic Integration: Self-Organized Integration of Adaptive Cues
Neural Computation
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This paper addresses the issue of color model adaptation and color-based object tracking in a dynamic scene. Under different environmental conditions such as illumination changes, a static color model is inadequate for the purpose of color-based object detection and tracking. Color model adaptation is required and this has to be integrated into the tracking procedure within the spatial domain. To track a target in both the color and spatial domains, a Bilateral Learning (BL) approach is proposed in this paper. Formulated as an unsupervised learning problem, the adaptations of the color and spatial models are fitted into an EM framework by updating in the color and image spaces alternately. This results in the adaptation of the color model and the localization of the target along the image sequence. Experimental results show the effectiveness and efficacy of the proposed approach for color model adaptation and object tracking under illumination changes and environmental noise in real time.