This paper presents a particle filter for multiple target tracking. The main contribution of this work is in the proposed likelihood function accounting for the interactions between the objects. The filter likelihood function is calculated by combining a social force model for human behaviour with image features such as colour and motion. The added social force model contributes to coping with occlusions between the objects. The performance of the developed algorithm is validated on real video data. The results demonstrate the algorithm accuracy during complex interactions between the objects.
|Title of host publication||FUSION 2014 - 17th International Conference on Information Fusion|
|Publisher||IEEE, Institute of Electrical and Electronics Engineers|
|Publication status||Published - 03 Oct 2014|
|Event||17th International Conference on Information Fusion, FUSION 2014 - Congress Hall, Salamanca, Spain|
Duration: 07 Jul 2014 → 10 Jul 2014
|Name||FUSION 2014 - 17th International Conference on Information Fusion|
|Conference||17th International Conference on Information Fusion, FUSION 2014|
|Period||07/07/14 → 10/07/14|
|Other||The 17th International Conference on Information Fusion (Fusion 2014) will be held in Salamanca, Spain. This event will provide a forum to discuss the latest research in Information Fusion its impacts for industry and institutions. It intends to bring together researchers and developers from industry and the academic world to report on the latest scientific and technical advances on this frame. to discuss and debate the major issues, and to showcase the latest systems using these technologies.|
Authors are invited to submit papers to this conference describing advances and applications in Information Fusion, with submission of non-traditional topics encouraged. The presented papers shall be included in the IEEE Xplore and EI Compendex databases.