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Human Object Detection by HoG, HoB, HoC and BO Features
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 151 - Number 8 |
| Year of Publication: 2016 |
| Authors: Sumati Malhotra, Shekhar Singh, S. C. Gupta |
10.5120/ijca2016911854
|
Sumati Malhotra, Shekhar Singh, S. C. Gupta . Human Object Detection by HoG, HoB, HoC and BO Features. International Journal of Computer Applications. 151, 8 ( Oct 2016), 27-33. DOI=10.5120/ijca2016911854
Abstract
Human object detection in image or video is always a challenge in computer vision which is hurdle in development of automatic cars and robots since machine till now is not able to categorize the object on its own. We have discussed the issues in human object detection algorithms in this paper and suggested a new feature extraction approach with SVM classifier. We have cascaded a new features set using four different features which provides color, edge, bar information along with minimization of false detection. These are HoG, HoC, HoB and BO respectively. With these features set we are able to get a good accuracy rate then previous work.
References
- Hiyam Hatem, Zou Beiji and Raed Majeed,” A Survey of Feature Base Methods for Human Face Detection”, International Journal of Control and Automation Vol.8, No.5 (2015), pp.61 -78
- Bingquan Huo and Fengling Yin,” Research on Novel Image Classification Algorithm based on Multi-Feature Extraction and Modified SVM Classifier”, International Journal of Smart Home Vol. 9, No. 9 (2015), pp. 103-112.
- A. Satpathy, X. Jiang and H. L. Eng, "Human Detection by Quadratic Classification on Subspace of Extended Histogram of Gradients," in IEEE Transactions on Image Processing, vol. 23, no. 1, pp. 287-297, Jan. 2014.
- S. Varma and M. Sreeraj, "Object detection and classification in surveillance system," Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in, Trivandrum, 2013, pp. 299-303.
- Jain Stoble B, Sreeraj M,” Multi-posture human detection based on hybrid HOG-BO feature”, Fifth International Conference on Advances in Computing and Communications, 2015
- Yunsheng Jiang and Jinwen Ma, "Combination features and models for human detection," 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, MA, 2015, pp. 240-248.
- L. Spinello and R. Siegwart, "Human detection using multimodal and multidimensional features," Robotics and Automation, 2008. ICRA 2008. IEEE International Conference on, Pasadena, CA, 2008, pp. 3264-3269.
- N. Dalal and B. Triggs, "Histograms of oriented gradients for human detection," 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), San Diego, CA, USA, 2005, pp. 886-893 vol. 1.
- M. Gupta, S. Kumar, N. Kejriwal, L. Behera and K. S. Venkatesh, "SURF-based human tracking algorithm for a human-following mobile robot," Image Processing Theory, Tools and Applications (IPTA), 2015 International Conference on, Orleans, 2015, pp. 111-116.
- Q. Ye, Z. Han, J. Jiao and J. Liu, "Human Detection in Images via Piecewise Linear Support Vector Machines," in IEEE Transactions on Image Processing, vol. 22, no. 2, pp. 778-789, Feb. 2013.
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