Abstract
All video surveillance system uses some important steps to detach moving object from background and thus differentiate all the objects in video image frames. The main endeavor of this paper is to use an object bounding box concept to detect the human blob and human activity detection using a system. The images are captured by using single static camera to make the system cost effective. The bounding box that bounds each object in the image frames can be utilized to track and detect activities of the moving objects in further frames. These bounding boxes can be utilized to detect human and human activities like crowd and the estimation of crowd. This paper gives the implementation results of bounding box for activity detection.
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References
Charfi, I., Miteran, J., Atri, M.: Definition and Performance Evaluation of a Robust SVM Based Fall Detection Solution. In: International Conference on Signal Image Technology and Internet Based Systems. IEEE (2012)
Karpagavalli, P., Ramprasad, A.V.: Estimating the density of people and Counting the number of people in a crowded environment for Human Safety. In: International Conference on Communication and Signal Processing. IEEE (2013)
Ashok Kumar, P.M., Vaidehi, V., Chandralekha, E.: Video Traffic Analysis For Abnormal Event Detection Using Frequent Item Set Mining. In: International Conference on Recent Trends in Information Technology. IEEE (2013)
Mahendran, S., Vaithiyanathan, D., Seshasayanan, R.: Object Tracking System Based on Invariant Features. In: International Conference on Communication and Signal Processing. IEEE (2013)
Sanna, A., Montuschi, P.: On the computation of groups of bounding boxes for fast test of objects intersection. In: IEEE (1995)
Madden, C., Piccardi, M.: Detecting Major Segmentation Errors for a Tracked Person Using Colour Feature Analysis. In: 14th International Conference on Image Analysis and Processing, ICIAP 2007 (2007)
Xu, L.-Q., Anjulan, A.: Crowd Behaviours Analysi. In: Dynamic Visual Scenes of Complex Environment. In: IEEE (2008)
Lien, C.-C., Huang, Y.-L., Han, C.-C.: People Counting Using Multi-Mode Multi-Target Tracking Scheme. In: International Conference on Intelligent Information Hiding and Multimedia Signal Processing. IEEE (2009)
Qian, H., Mao, Y., Xiang, W.: Home Environment Fall Detection System Based on a Cascaded Multi-SVM Classifier. In: International Conference on Control, Automation, Robotics and Vision, Vietnam. IEEE (2008)
Perrin, N., Stasse, O., Lamiraux, F.: Real-time footstep planning for humanoid robots among 3D obstacles using a hybrid bounding box. In: International Conference on Robotics and Automation. IEEE (2012)
Lertniphonphan, K., Aramvith, S., Thanarat, H.: The Region-Based Distance of Oriented Gradient and Motion Direction for Human Action Classification. In: International Sumposium on Communication and Information Technologies. IEEE (2012)
Choeychuent, K., Kumhomtand, P., Chamnongthait, K.: An Efficient Implementation of the Nearest Neighbor Based Visual Objects Tracking. In: International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS 2006), Japan (2006)
Suresh, S.: Chitra K.: Patch Based frame work for occlusion Handling. In: IEEE (2013)
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Deepak, P., Suresh, S. (2015). Design and Utilization of Bounding Box in Human Detection and Activity Identification. In: Satapathy, S., Govardhan, A., Raju, K., Mandal, J. (eds) Emerging ICT for Bridging the Future - Proceedings of the 49th Annual Convention of the Computer Society of India CSI Volume 2. Advances in Intelligent Systems and Computing, vol 338. Springer, Cham. https://doi.org/10.1007/978-3-319-13731-5_8
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DOI: https://doi.org/10.1007/978-3-319-13731-5_8
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-13730-8
Online ISBN: 978-3-319-13731-5
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