Title :
Tracking Multiple Objects using Probability Hypothesis Density Filter and Color Measurements
Author :
Pham, Nam Trung ; Huang, Weimin ; Ong, S.H.
Author_Institution :
Inst. for Infocomm Res., Singapore
Abstract :
Most methods for multiple object tracking in video represent the state of multi-object in a high dimensional joint state space. This leads to high computational complexity. This paper presents a method using the probability hypothesis density (PHD) filter to estimate the state of multiple objects in video. The method operates on the single object state space instead of the joint state space. A PHD recursion for visual observations with color measurements is proposed. Our method can track varying number of objects.
Keywords :
computational complexity; filtering theory; image colour analysis; probability; video signal processing; color measurements; computational complexity; high dimensional joint state space; multiple object tracking; probability hypothesis density filter; Colored noise; Density functional theory; Density measurement; Filtering; Filters; Histograms; Object detection; State-space methods; Surveillance; Target tracking;
Conference_Titel :
Multimedia and Expo, 2007 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
1-4244-1016-9
Electronic_ISBN :
1-4244-1017-7
DOI :
10.1109/ICME.2007.4284949
