Object Detection and Identification in Surveillance Images using Image Processing
Vanisri Muralisankar1, S. Graceline Jasmine2
1Vanisri Muralisankar, Pursuing Master, Department of Computer Applications, VIT University, Chennai (Tamil Nadu), India.
2Dr. S. Graceline Jasmine, Assistant Professor Senior, VIT Chennai (Tamil Nadu), India.
Manuscript received on 16 December 2019 | Revised Manuscript received on 23 December 2019 | Manuscript Published on 31 December 2019 | PP: 300-305 | Volume-9 Issue-1S3 December 2019 | Retrieval Number: A10571291S319/19©BEIESP | DOI: 10.35940/ijeat.A1057.1291S319
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The goal of object detection and identification in surveillance images using image processing is to detect a particular part of the image from surveillance camera like an object’s position, movement, and its sequence. Object tracking and recognition deal with recognizing the image of video which can differ in color, range, size, illumination changes with time and some cluttered images. As this paper has been surveying and an algorithm has been proposed and implemented, the identified object has freed from the shadow, clutter, illumination changes were detected and eliminated appropriately.
Keywords: Background Subtraction, Illumination, Shadow, Surveillance Image.
Scope of the Article: Image analysis and Processing