Authors:
Masaya Ikeda
;
Kan Okubo
and
Norio Tagawa
Affiliation:
Faculty of System Design, Tokyo Metropolitan University, Japan
Keyword(s):
Object tracking, MAP assignment, Occlusion, Optical flow.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Image and Video Analysis
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
;
Segmentation and Grouping
;
Statistical Approach
Abstract:
For tracking objects, the various template matching methods are usually used. However, those cannot completely cope with apparent changes of a target object in images. On the other hand, to discriminate multiple objects in still images, the label assignment based on the MAP estimation using object's features is convenient. In this study, we propose a method which enables to track multiple objects stably without explicit tracking by extending the above MAP assignment in the temporal direction. We propose two techniques; information of target position and its size detected in the previous frame is propagated to the current frame as a prior probability of the target region, and distribution properties of target’s feature values in a feature space are adaptively updated based on detection results at each frame. Since the proposed method is based on a label assignment and then, it is not an explicit tracking based on target appearance in images, the method is robust especially for occlusi
on.
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