objecttracking algorithm using modifiedparticlefilter in lowframerate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the lowframerate ***,P...
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objecttracking algorithm using modifiedparticlefilter in lowframerate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the lowframerate ***,particlefiltering use motion transitions to model the movement of the ***,in objecttracking with lowframerate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particlefilter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.
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