caa a22 4500 605541167 CHVBK 20210128100915.0 cr unu---uuuuu 210128e20150501xx s 000 0 eng 10.1007/s00371-014-0996-4 doi (NATIONALLICENCE)springer-10.1007/s00371-014-0996-4 Inter-frame constrained coding based on superpixel for tracking [Elektronische Daten] [Xiaolin Tian, Licheng Jiao, Xiaoli Zheng, Xiaohua Zhang] A video tracking method based on superpixel with inter-frame constrained coding is proposed in this paper. The 3-D CIE Lab color feature is extracted at each superpixel to characterize local image information. Based on the color feature, the superpixel-based coding model is achieved between the adjacent frames for correctly tracking object. The proposed tracking method considers the interaction of corresponding superpixels between the adjacent frames of complex scenes, which enhances the stability of encoding. Due to the update of codebook and classifier parameter, the proposed method is robust for long-term object tracking. We test the proposed method on 15 challenging sequences involving drastic illumination change, partial or full occlusion, and large pose variation. The proposed method shows excellent performance in comparison with eight previously proposed trackers. Springer-Verlag Berlin Heidelberg, 2014 Tracking nationallicence Superpixels nationallicence Coding nationallicence Tian Xiaolin Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Jiao Licheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Zheng Xiaoli Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut Zhang Xiaohua Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 701-715 0178-2789 31:5<701 2015 31 371 https://doi.org/10.1007/s00371-014-0996-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00371-014-0996-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tian Xiaolin Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Jiao Licheng Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Zheng Xiaoli Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 700 1- Zhang Xiaohua Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, International Research Center for Intelligent Perception and Computation, Institute of Intelligent Information Processing, Xidian University, P.O. Box 224, 710071, Xi'an, People's Republic of China aut NATIONALLICENCE 773 0- The Visual Computer Springer Berlin Heidelberg 31/5(2015-05-01), 701-715 0178-2789 31:5<701 2015 31 371