3D-MRF BASED VIDEO TRACKING IN THE COMPRESSED DOMAIN

S. Vinci, V. Josephine Sutha

Abstract: Object tracking is an interesting and needed procedure for many real time applications. But it is a challenging one, because of the presence of challenging sequences with abrupt motion, drastic illumination change, large pose variation, occlusion, cluttered background and also the camera shake. This paper presents a novel method of object tracking by using the algorithms spatiotemporal Markov random field (STMRF) and online discriminative feature selection (ODFS), which overcome the above mentioned problems and provide a better tracking process. This method is also capable of tracking multiple objects in video sequence even in the presence of an object interactions and occlusions that achieves better results with real time performance.

Keywords: Video object tracking, spatio-temporal Markov random field (ST-MRF), online discriminative feature selection (ODFS).

DOI: https://doi.org/10.15623/ijret.2014.0304054