Human Guide Tracking Using Combined Histogram of Oriented Gradient and Entropy Difference Minimization Algorithm for Camera Follower

Fitri Utaminingrum, M. Ali Fauzi, Yuita Arum Sari, Sigit Adinugroho, Randy Cahya Wihandika, Dahnial Syauqy, Putra Pandu Adikara


Moving human is quite complicated to track since there are variations in background, texture, and lighting in an environment. This paper presents an effective method for tracking a human guide from a camera follower in both indoor and outdoor condition. This algorithm is designed to be embedded in a smart wheelchair. A conventional human detection by using Histogram of Oriented Gradient (HOG) was used at the first stage, then each detected human by HOG is utilized for tracking algorithm. The detected area from HOG is converted to grayscale image and its Entropy Difference Minimization (HOG-EDM) is calculated. The process is repeated for every frame. The entropy minimization is used as matching function in the tracking subsystem to determine the candidate of tracked object in the upcoming frame. The proposed algorithm has been proven to work well in indoor and outdoor area, even with textured background. Our testing based on self-made and public datasets shows that HOG-EDM method reaches over 80% accuracy.


Camera Follower; Histogram Of Oriented Gradient; Human Tracking; Moving Camera;

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Utaminingrum, Fitri, M. Ali Fauzi, Yuita Arum Sari, Renaldi Primaswara, and Sigit Adinugroho. "Eye Movement as Navigator for Disabled Person." In Proceedings of the 2016 International Conference on Communication and Information Systems, pp. 1-5. ACM, 2016.

Leaman, J., La, H. M., & Nguyen, L. (2016, September). Development of a smart wheelchair for people with disabilities. In Multisensor Fusion and Integration for Intelligent Systems (MFI), 2016 IEEE International Conference on (pp. 279-284). IEEE.

Dalsaniya, A. K., & Gawali, D. H. (2016, January). Smart phone based wheelchair navigation and home automation for disabled. In Intelligent Systems and Control (ISCO), 2016 10th International Conference on (pp. 1-5). IEEE.

Utaminingrum, Fitri, Tri Astoto Kurniawan, M. Ali Fauzi, Rizal Maulana, Dahnial Syauqy, Randy Cahya Wihandika, Yuita Arum Sari, Putra Pandu Adikara. “A Laser Vision based Obstcale Deection and Distance Estimation for Smart Wheelchair Navigation”. In 2016 IEEE International Conference on Signal and Image Processing, pp. 123-127.

Utaminingrum, M. Ali Fauzi, Randy Cahya Wihandika, Sigit Adinugroho, Dahnial Syauqy, Yuita Arum Sari, Putra Pandu Adikara, “Development of Computer Vision Based Obstacle Detection and Human Tracking on Smart Wheelchair for Disabled Patient”. International Symposium on Computational and Business Intelligence (ISCBI) 2017.IEEE

Utaminingrum, M. Ali Fauzi, Randy Cahya Wihandika, Putra Pandu Adikara, 2016, “Adaptive Human Tracking for Smart Wheelchair”. International Symposium on Computational and Business Intelligence (ISCBI), Aug 2017.IEEE

Yanmin, L., Shujiao, J., Xiuli, G., Zhibin, F., Xiaoxue, X., & Limin, D. (2016, May). Research on automatic tracking caregivers of intelligent wheelchair. In Control and Decision Conference (CCDC), 2016 Chinese (pp. 801-806). IEEE.

Hu, W. C., Chen, C. H., Chen, T. Y., Huang, D. Y., & Wu, Z. C. (2015). Moving object detection and tracking from video captured by moving camera. Journal of Visual Communication and Image Representation, 30, 164-180.

Sincan, O. M., Ajabshir, V. B., Keles, H. Y., & Tosun, S. (2015, September). Moving object detection by a mounted moving camera. In EUROCON 2015-International Conference on Computer as a Tool (EUROCON), IEEE (pp. 1-6). IEEE.

Wang, H., & Yi, Y. (2015, October). Tracking Salient Keypoints for Human Action Recognition. In Systems, Man, and Cybernetics (SMC), 2015 IEEE International Conference on (pp. 3048-3053). IEEE.

Shin, J., Kim, D., & Ruland, C. (2014, October). Content based image authentication using HOG feature descriptor. In Image Processing (ICIP), 2014 IEEE International Conference on (pp. 5292-5296). IEEE.

Dalal, N., & Triggs, B. (2005, June). Histograms of oriented gradients for human detection. In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on (Vol. 1, pp. 886-893). IEEE.

Ghorbani, M., Targhi, A. T., & Dehshibi, M. M. (2015, October). HOG and LBP: Towards a robust face recognition system. In Digital Information Management (ICDIM), 2015 Tenth International Conference on (pp. 138-141). IEEE.

Kwok, N., Shi, H., Ha, Q., Fang, G., Chen, S. and Jia, X. (2013). “Simultaneous image color correction and enhancement using particle swarm optimization”. Engineering Applications of Artificial Intelligence, 26 (10), pp. 2356-2371.

Sari, Y. A., Ginardi, R. H., & Suciati, N. (2015, September). Color correction using improved linear regression algorithm. In Information & Communication Technology and Systems (ICTS), 2015 International Conference on (pp. 73-78). IEEE.

Li, C., Shi, X., Xu, Y., & Wu, S. (2012, October). Human body detection and tracking from moving cameras. In Biomedical Engineering and Informatics (BMEI), 2012 5th International Conference on (pp. 278-281). IEEE.


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