Motion Detection of Human on Video: State of the Art

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Abstract

In current scenario, almost everyone is using camera in smart phones; in all buildings, CCTV is fixed for surveillance. Despite of all these, crime rate is increasing more and more every second. Human motion detection is one of the recent topics in computer vision. Human motion detection in video is used in many fields like medicine, military, cybercrime, road traffic control system, etc. The videos which are recorded in CCTV may or may not be clear due to various reasons. Hence, human motion detection is very much needed to identify the motion of human in the video which is recorded by CCTV or any other sources. This human motion detection will help to detect the crime happening in the world. There are many algorithms and techniques introduced by various authors. In this paper, I am going to analyse the various techniques introduced by various authors.

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Cheltha, C. J. N., & Sharma, C. (2023). Motion Detection of Human on Video: State of the Art. In Lecture Notes in Computational Vision and Biomechanics (Vol. 37, pp. 471–481). Springer Science and Business Media B.V. https://doi.org/10.1007/978-981-19-0151-5_39

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