In this paper, the classical task of mobile target tracking using a pan-and-tilt camera is considered. The authors use recent results in motion-based visual servoing to deal with complex targets for which shape and texture are unknown. The first method consists of designing a control law directly from the estimated image motion. This leads to the computation of the pan-and-tilt acceleration nec...

1. PROBLEM STATEMENT Tracking of regions in image sequences plays a fundamental role in important applications (search and retrieval in video databases, object based coding such as in MPEG-4, surveillance), and although numerous approaches to region tracking have been developed, they all suffer from severe constraints imposed on the nature of the image sequence. Some assume a particular motion ...

A visual tracking method is introduced which performs no direct tracking of any feature in the image plane. Instead, images are transformed using a variant of the Hough technique and features are tracked by the parameters which describe them. This enables features to be combined and constrained by their structure, allowing tracking of more complex shapes with a controlled degree of flexibility ...

A mutual information based articulated object tracking scheme is proposed in this paper. Articulation constraints are introduced using a kinematic model. Further constraints are introduced based on the human joint anatomy and flexibility. The tracking scheme is enhanced by using the tracked object texture map image. The tracking history is incorporated in the tracking scheme by using a temporal...

Model-free tracking is important for solving tasks such as moving-object tracking and action recognition in cases where no prior object knowledge is available. For this purpose, we extend the concept of spatially synchronous dynamics in spin-lattice models to the spatiotemporal domain to track segments within an image sequence. The method is related to synchronization processes in neural networ...