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30th Applied Imagery Pattern Recognition Workshop (AIPR'01)
Using Histograms to Detect and Track Objects in Color Video
Washington, D.C.
October 10-October 12
ISBN: 0-7695-1245-3
ASCII Text
x 
 
M. Mason, Z. Duric, "Using Histograms to Detect and Track Objects in Color Video," Applied Image Pattern Recognition Workshop,, pp. 0154, 30th Applied Imagery Pattern Recognition Workshop (AIPR'01), 2001.
 
 
BibTex
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@article{ 10.1109/AIPR.2001.991219,
author = {M. Mason and Z. Duric},
title = {Using Histograms to Detect and Track Objects in Color Video},
journal ={Applied Image Pattern Recognition Workshop,},
volume = {0},
year = {2001},
isbn = {0-7695-1245-3},
pages = {0154},
doi = {http://doi.ieeecomputersociety.org/10.1109/AIPR.2001.991219},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Applied Image Pattern Recognition Workshop,
TI - Using Histograms to Detect and Track Objects in Color Video
SN - 0-7695-1245-3
SP
EP
A1 - M. Mason,
A1 - Z. Duric,
PY - 2001
VL - 0
JA - Applied Image Pattern Recognition Workshop,
ER -
 
M. Mason, George Mason University
Z. Duric, George Mason University
Two methods of detecting and tracking objects in color video are presented. Color and edge histograms are explored as ways to model the background and foreground of a scene. The two types of methods are evaluated to determine their speed, accuracy and robustness. Histogram comparison techniques are used to compute similarity values that aid in identifying regions of interest. Foreground objects are detected and tracked by dividing each video frame into smaller regions (cells) and comparing the histogram of each cell to the background model. Results are presented for video sequences of human activity.
Citation:
M. Mason, Z. Duric, "Using Histograms to Detect and Track Objects in Color Video," aipr, pp.0154, 30th Applied Imagery Pattern Recognition Workshop (AIPR'01), 2001
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