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This proposal deals with the topic of tracking an unknown number of persons with a monocular camera in indoor environments. Within this context the main tracking system requirements are defined not only by a robust determination of all human trajectories but also by a reliable recovery of all object identities especially for challenging situations like heavy occlusion or the reentry of a person. Regarding...
In this paper, we proposed an enhanced kernel based algorithm for visual tracking based on the video sequences captured from a fixed camera on the top of the scene. The technique presented here employs the image color intensity information and the local binary pattern (LBP) to construct a four dimensional histogram representative of the color intensity values and the texture of the target under study...
In this paper, an effective face tracking algorithm based on the combination of shape and texture information is proposed. The edge map is used to represent the shape of a face, while the texture information is characterized by the local binary pattern (LBP). As the face patterns to be tracked in consecutive frames are highly correlated, an accurate tracking can be achieved by searching for the shortest...
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