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
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;
Conference_Titel :
Information Science and Engineering (ICISE), 2009 1st International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-4909-5
DOI :
10.1109/ICISE.2009.270
