Multiple people tracking using an appearance model based on temporal color

2002 ◽  
Author(s):  
Hyungki Roh ◽  
Seonghoon Kang ◽  
Seong-Whan Lee
Keyword(s):  
Appearance Model ◽  
People Tracking ◽  
Model Based ◽  
Multiple People Tracking

Multiple People Tracking Based on Temporal Color Feature

2003 ◽  
Vol 17 (06) ◽  
pp. 931-949 ◽  
Author(s):  
Seonghoon Kang ◽  
Bon-Woo Hwang ◽  
Seong-Whan Lee
Keyword(s):  
Image Sequences ◽  
Experimental Results ◽  
Target Person ◽  
Appearance Model ◽  
Color Information ◽  
People Tracking ◽  
Medium Term ◽  
The People ◽  
Multiple People Tracking ◽  
Face Pattern

We present a method for detecting and tracking multiple people totally occluded or out of sight in a scene for some period of time in image sequences. Our approach is to use time weighted color information (i.e. the temporal color) for robust medium-term people tracking. The temporal color is the set of pairs of a color value and its associated weights. The weight is related to the size, duration and frequency of appearance of the color region, as well as the number of people adjacent to the target person. It assures our system to continuously track people moving in a group with occlusion. Most systems have built an appearance model for each person to solve occlusion problems. The appearance model contains certain information on the target person — color, shape, texture, position, velocity and face pattern. We use temporal color in the appearance model for the identification of the people occluded or out of sight in the scene upon their reappearance. Experimental results show that the temporal color is more stable than shape or intensity in various cases.

Testing Colour Appearance Model Based UCS Using HDR, WCG and COMBVD Datasets

2021 ◽  
Vol 2021 (29) ◽  
pp. 381-386
Author(s):  
Xu Qiang ◽  
Muhammad Safdar ◽  
Ming Ronnier Luo
Keyword(s):  
Correlation Coefficient ◽  
Power Factor ◽  
Marked Improvement ◽  
Appearance Model ◽  
Colour Difference ◽  
Similar Performance ◽  
Model Based ◽  
Test Models ◽  
Appearance Models ◽  
Colour Appearance

Two colour appearance models based UCSs, CAM16-UCS and ZCAM-QMh, were tested using HDR, WCG and COMBVD datasets. As a comparison, two widely used UCSs, CIELAB and ICTCP, were tested. Metrics of the STRESS and correlation coefficient between predicted colour differences and visual differences, together with local and global uniformity based on their chromatic discrimination ellipses, were applied to test models' performance. The two UCSs give similar performance. The luminance parametric factor kL, and power factor γ, were introduced to optimize colour-difference models. Factors kL and γ of 0.75 and 0.5, gave marked improvement to predict the HDR dataset. Factor kL of 0.3 gave significant improvement in the test of WCG dataset. In the test of COMBVD dataset, optimization provide very limited improvement.

Comparison of Different Metrics for Appearance-Model-Based 2D/3D-registration with X-ray Images

2008 ◽  
pp. 122-126 ◽  
Author(s):  
Philipp Steininger ◽  
Karl D. Fritscher ◽  
Gregor Kofler ◽  
Benedikt Schuler ◽  
Markus Hänni ◽  
...  
Keyword(s):  
Appearance Model ◽  
3D Registration ◽  
X Ray ◽  
Model Based
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