DocumentCode
2238194
Title
An Improved Camshift Algorithm Based on Dynamic Background
Author
Yue, Yingying ; Gao, Yun ; Zhang, Xuejie
Author_Institution
Sch. of Inf. Sci. & Eng., Yunnan Univ., Kunming, China
fYear
2009
fDate
26-28 Dec. 2009
Firstpage
1141
Lastpage
1144
Abstract
In this paper, an improved Camshift algorithm based on dynamic background is presented, detecting motion objects with Twice-Frame-Difference Method (TFDM) and tracking objects with Multi-Features-Fusion Method (MFFM). By the comparing experiments, the presented improved algorithm can acquire the better detecting effects and improve the robustness and accuracy of tracking.
Keywords
computer vision; object detection; camshift algorithm; dynamic background; motion objects detection; multifeatures fusion method; twice frame difference method; Computational complexity; Heuristic algorithms; High performance computing; Histograms; Image edge detection; Information science; Motion detection; Object detection; Robustness; Tracking;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-4909-5
Type
conf
DOI
10.1109/ICISE.2009.270
Filename
5455748
Link To Document