Computer Vision and Image Understanding
Histograms of Oriented Gradients for Human Detection
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Image Retrieval Based on MPEG-7 Dominant Color Descriptor
ICYCS '08 Proceedings of the 2008 The 9th International Conference for Young Computer Scientists
Ball and Field Line Detection for Placed Kick Refinement
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 04
Players and ball detection in soccer videos based on color segmentation and shape analysis
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Football video segmentation based on video production strategy
ECIR'05 Proceedings of the 27th European conference on Advances in Information Retrieval Research
Fast Human Detection Using a Novel Boosted Cascading Structure With Meta Stages
IEEE Transactions on Image Processing
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The paper describes a novel segmentation system based on the combination of Histogram of Oriented Gradients (HOG) descriptors and linear Support Vector Machine (SVM) classification for football video. Recently, HOG methods were widely used for pedestrian detection. However, presented experimental results show that combination of HOG and SVM is very promising for locating and segmenting players. In proposed system a dominant color based segmentation for football playfield detection and a 3D playfield modeling based on Hough transform is introduced. Experimental evaluation of the system is done for SD (720×576) and HD (1280×720) test sequences. Additionally, we test proposed system performance for different lighting conditions (non-uniform pith lightning, multiple player shadows) as well as for various positions of the cameras used for acquisition.