IEEE Transactions on Pattern Analysis and Machine Intelligence
Object Recognition from Local Scale-Invariant Features
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
Mean Shift Analysis and Applications
ICCV '99 Proceedings of the International Conference on Computer Vision-Volume 2 - Volume 2
A General Framework for Object Detection
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Detecting Pedestrians Using Patterns of Motion and Appearance
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
A Comparison of Affine Region Detectors
International Journal of Computer Vision
Efficient Maximally Stable Extremal Region (MSER) Tracking
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
ACM Computing Surveys (CSUR)
Linear Time Maximally Stable Extremal Regions
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Human skeletal tracking using colour MSERs
Proceedings of the 27th Conference on Image and Vision Computing New Zealand
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In this paper we present extensions to Maximally Stable Extremal Regions that incorporate color information. Our extended interest region detector produces regions that are robust with respect to illumination, background, JPEG compression, and other common sources of image noise. The algorithm can be implemented on a distributed system to run at the same speed as the MSER algorithm. Our methods are compared against a standard MSER base-line. Our approach gives comparable or improved results when tested in various scenarios from the CAVIAR standard data set for object tracking.