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Object tracking in video sequences is a challenging task and has various applications such as port security. We review particle filtering techniques for tracking single and multiple moving objects in video sequences by using different features such as colour, shape, motion, edge, and sound. Pros and cons of these algorithms are discussed along with difficulties that have to be overcome. Results of a particular particle filter with colour and texture cues are reported. Conclusions and open research issues are formulated.
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