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Content Provider | IEEE Xplore Digital Library |
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Author | Diwakar, M. Patel, P.K. Gupta, K. Chauhan, C. |
Copyright Year | 2013 |
Description | Author affiliation: Dept. of Inf. Technol., HCT, Muscat, Oman (Gupta, K.; Chauhan, C.) || Dept. of Comput. Sci. & Eng., IIT Kanpur, Kanpur, India (Patel, P.K.) || Dept. of Comput. Sci. & Eng., DIT Univ. Dehradun, Dehradun, India (Diwakar, M.) |
Abstract | Object tracking is an important task within the field of computer vision. There are two key steps in video analysis: detection of interesting moving objects and tracking of such objects from frame to frame. Mean shift object tracking algorithm is a feature based algorithm. In this paper color information of object are extracted as well as texture information is also extracted by using local binary pattern technique to represent the object. In joint color-texture histogram region of interest is extracted and then edges and corners are extracted from the region of interest. Color histogram is insensitive to nondeformation and partial occlusion but it does not perform well when in case of color aberration. To overcome this drawback Local Binary Pattern method is used. This feature makes this algorithm more efficient in comparison of color histogram algorithm. |
Starting Page | 160 |
Ending Page | 165 |
File Size | 473236 |
Page Count | 6 |
File Format | |
ISBN | 9781467360999 |
e-ISBN | 9781467361019 |
DOI | 10.1109/ICIIP.2013.6707574 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2013-12-09 |
Publisher Place | India |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Histograms Target tracking Histogram Image color analysis Object Tracking Feature extraction Object tracking Mathematical model Joints |
Content Type | Text |
Resource Type | Article |
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