摘要：There is a broad range of applications of visual object tracking that motivate the interests of researchers worldwide. These include video surveillance to know the suspicious activity, sport video analysis to extract highlights, traffic monitoring to analyse traffic flow and human computer interface to assist visually challenged people. In general, the processing framework of object tracking in dynamic scenes includes the following stages: segmentation and modelling of interesting moving object, predicting possible location of candidate object in each frame, localization of object in each frame, generally through a similarity measure in feature space. However, tracking an object in a complex environment is a challenging task. This survey discusses some of the core concepts used in object tracking and present a comprehensive survey of efforts in the past to address this problem. We have also explored wavelet domain and found that it has great potential in object tracking as it provides a rich and robust representation of an object.
