Frameworks for Animal and Human Detection using Camera Images to Detect Anomaly
Deepak P.1, S. Krishnakumar2

1Deepak P., graduated his Bachelor Degree in Engineering from Madras University, Chennai.
2Dr. S. Krishnakumar, Associate member of Institute of Engineers, India.

Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 1771-1777 | Volume-8 Issue-12, October 2019. | Retrieval Number: L32351081219/2019©BEIESP | DOI: 10.35940/ijitee.L3235.1081219
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Abstract: Human and animal interacting events in video image frames will leads to anomalies and it cannot be predicted. These anomalous events was happened due to the interactions of human, animals and birds with each other. Some of the human and animal anamolous interactions will leads to anomalous actions in camera surveillance sites and are to be considered as a serious issue. All anomalies will leads the system or the authorities who dedicated for monitoring to the suspicious events. To detect the anomalies, the animals and human objects must be identified in each image frames first. After object identification events detection phase has to be done. Before going to the event detection phase, noise elimination, shadow detection, object classification can be carried out according to the needs. This paper reveals general detection methodology for animal detection and human crowd. The proposed work mainly concentrated on the detection of animals in human territory based on its palm print images and video images. Human crowd can be treated as smoke- screen for all types of anomalies and so this paper mainly concentrated to detect the crowd well in advance and thereby preventing the crowd before it is happening.
Keywords: Anomalies Detection, Video Surveillance System Animal Detection, Palm Print Image, Crowd Detection
Scope of the Article: Patterns and Frameworks