DocumentCode
3201479
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
fYear
2007
fDate
2-5 July 2007
Firstpage
1511
Lastpage
1514
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICME.2007.4284949
Filename
4284949
Link To Document