Multiple Objects Tracking by Color-based Methods
نویسندگان
چکیده
Motion object tracking in real-time environment and video is a popular topic in multimedia processing. Various related researches proposed to handle particular cases in recent years. We proposed several modified methods about background modeling, foreground detection, moving object modeling and matching to achieve the goal of tracking multiple objects in indoor and outdoor scenarios. In our experimental settings, we can discriminate and track objects accurately as well as detect and deal with occlusions in all videos. Key-Words: video surveillances, background modeling, foreground extraction, contrast histogram, object tracking, occlusion detection.
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