caa a22 4500 605446865 CHVBK 20210128100129.0 cr unu---uuuuu 210128e20151101xx s 000 0 eng 10.1007/s11042-014-2150-8 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2150-8 Moving object tracking based on geogram [Elektronische Daten] [Gwangmin Choe, Tianjiang Wang, Fang Liu, Gwangho Li, Hyongwang O, Songryong Kim] We introduce the concept of a geogram that captures richer features to represent the objects. The spatiogram contains some moments upon the coordinates of the pixels corresponding to each bin while the geogram contains information about the perimeter of grouped regions in addition to features in the spatiogram. The perimeter of the given region has capability to represent the geometrical compactness on the distribution of the given feature. The geogram-based feature descriptor increases the accuracy of tracking because it can capture the features in lower levels. Also, we consider that a convergence of the mean shift algorithm for the spatiogram is divided into obvious dynamic and steady states as well as in automatic control, and introduce a hybrid technique of the geogram and the histogram to control convergence process. Moreover, we derive a mean shift procedure for the proposed geogram. We test our feature descriptor and measure in object tracking scenario. Experimental results demonstrate that the geogram has promising discriminative capability in comparison with other ones. Springer Science+Business Media New York, 2014 Geogram nationallicence Hybrid gradient descent nationallicence Mean shift nationallicence Similarity measure nationallicence Feature descriptor nationallicence Choe Gwangmin Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Wang Tianjiang Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Liu Fang Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut Li Gwangho School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People's Republic of Korea aut O Hyongwang The Institute of Mathematics, Academy of Sciences, Pyongyang, Democratic People's Republic of Korea aut Kim Songryong The Institute of Mathematics, Academy of Sciences, Pyongyang, Democratic People's Republic of Korea aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9771-9794 1380-7501 74:21<9771 2015 74 11042 https://doi.org/10.1007/s11042-014-2150-8 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/s11042-014-2150-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Choe Gwangmin Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Wang Tianjiang Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Liu Fang Intelligent and Distributed Computing Laboratory, School of Computer Science and Technology, Huazhong University of Science and Technology, 430074, Wuhan, China aut NATIONALLICENCE 700 1- Li Gwangho School of Computer Science and Technology, Kim Il Sung University, Pyongyang, Democratic People's Republic of Korea aut NATIONALLICENCE 700 1- O Hyongwang The Institute of Mathematics, Academy of Sciences, Pyongyang, Democratic People's Republic of Korea aut NATIONALLICENCE 700 1- Kim Songryong The Institute of Mathematics, Academy of Sciences, Pyongyang, Democratic People's Republic of Korea aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/21(2015-11-01), 9771-9794 1380-7501 74:21<9771 2015 74 11042