Study and Analysis of Methods of Object Detection in Video
Sanjivani Shantaiya1, Kesari Verma2, Kamal Mehta3
1Sanjivani Shantaiya, Dept.of Computer Sci. & Engg. DIMAT Raipur, India.
2Kesari Verma, Dept.of Computer Application, NIT Raipur, India.
3Kamal Mehta, Dept.of Computer Sci. & Engg, SSCET Bhilai, India
Manuscript received on January 01, 2013. | Revised Manuscript received on January 02, 2013. | Manuscript published on January 05, 2013. | PP: 173-175 | Volume-2, Issue-6, January 2013. | Retrieval Number: F1141112612/2013©BEIESP
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© The Authors. Published By: 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: Object detection is generally performed in the context of higher-level applications that require the location and/or shape of the object in every frame. In the recent years various object detection methods have been proposed over by many researchers and both the apprentice and the proficient can be confused about their benefits and restrictions. In order to overcome this problem, this paper presents an analysis of some important methods and presents innovative classification based on time, memory requirements and accuracy. Results of Such an analysis can efficiently guide the researcher to select the most suitable method for a given application in a proper way. This research paper includes various approaches that have been used mostly by different researchers for object detection.
Keywords: Frame difference, approximate median, mixture of Gaussian.