Abstract:
To overcome the tracking problems caused on the one hand by the complex environment and target's appearance changes and on the other hand by maneuvering motion, tracking ...Show MoreMetadata
Abstract:
To overcome the tracking problems caused on the one hand by the complex environment and target's appearance changes and on the other hand by maneuvering motion, tracking algorithm was proposed based on multi-feature fusion for particle filter to construct a robust appearance model, and a multi dynamic model under the interactive multiple models (IMM) to describe the target's motion. The proposed method is tested on a variety of videos that present different conditions. Experiences and comparisons conducted show the robustness of our methods in different tracking conditions.
Published in: 2016 11th International Conference on Intelligent Systems: Theories and Applications (SITA)
Date of Conference: 19-20 October 2016
Date Added to IEEE Xplore: 08 December 2016
ISBN Information:
Electronic ISSN: 2378-2536