Axel Beaugendre

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Occlusions significantly affect the result during human tracking. This paper proposes a novel occlusion detection and handling algorithm which is mainly based on the KLT (Kanade-Lucas-Tomasi) method. Instead of using KLT as a tracker, we apply it for occlusion detection to enhance tracking stability. In this paper, a combinational method of particle filter(More)
In this paper, a novel approach is proposed to achieve the multi-human tracking in video surveillance system using a combination of tracking by detection method. First of all, a modified foreground objects detection method is applied to extract the foreground blobs thus achieving the regions of interest. On the second hand, the HOG features together with(More)
Foreground extraction and moving object detection are often used in human tracking systems. However those methods are not able to produce accurate results when objects are too close or when occlusions happen since the result is generally a single big blob which contains all the different objects. In this paper we propose a novel and efficient moving object(More)
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