Smart Maneuvering of Security Camera
|International Journal of Electronics and Communication Engineering|
|© 2022 by SSRG - IJECE Journal|
|Volume 9 Issue 5|
|Year of Publication : 2022|
|Authors : Dhatreyee Eluri, A. Raghu Ram|
How to Cite?
Dhatreyee Eluri, A. Raghu Ram, "Smart Maneuvering of Security Camera," SSRG International Journal of Electronics and Communication Engineering, vol. 9, no. 5, pp. 17-20, 2022. Crossref, https://doi.org/10.14445/23488549/IJECE-V9I5P103
One of the ongoing demanding research problems in computer vision is visual surveillance in dynamic situations, particularly for humans and automobiles. It is a critical technology in the battle against terrorist attacks, crime, public health and safety, and effective traffic management. The endeavour entails the creation of an effective visual surveillance system for use in complex contexts. Detecting directional movement from a video is critical for target tracking, object categorization, activity recognition, and behaviour understanding in video surveillance. The first relevant phase of data is detecting object tracking in streaming video, and background subtraction is a typical method for foreground segmentation. Different backdrop subtraction approaches are simulated in this work to tackle the issues of lighting variance, background clutter, shadows, and concealment.
Computer vision, Motion detection, Background subtraction.
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