Multi-feature vector flow for active contour tracking

In order to achieve both fast tracking and accurate object extraction, we present in this paper an original real-time active contour method, incorporating different feature maps into a common and homogeneous framework, defined by the multi-feature vector flow (MFVF). The MFVF active contour approach does not require any target prior model, and enables precise tracking of mobile deformable objects. The use of the MFVF, resulting from multiple selected features, brings robustness into the system towards complex situations, while our computationally efficient implementation of the MFVF scheme reaches the required speed range for tracking process. The proposed method has been successfully tested on real-world video sequences.