Novel Method of Detecting Moving Object in Video

Abstract In the modern trends, intelligent video surveillance system is a very important and relevant topic of research. It is well suited for a broad range of applications which includes, video communication, security and surveillance, public areas such as airports, traffic control, monitoring activities at traffic intersections for detecting congestions, and then predicting the traffic flow which assists in regulating traffic, underground stations, mass events, etc. The main disadvantage of the system is, the storage space required for storing these data and retrieval of the same on demand. For these human resources are needed but manually reviewing the large amount of data often impractical. The proposed work focused on bringing effective and efficient system with intelligence to avoid human intervention in identifying security threats. In this paper, the moving objects in a video detected by using a method of optic flow with morphological operation.

[1]  Tim J. Ellis,et al.  Image Difference Threshold Strategies and Shadow Detection , 1995, BMVC.

[2]  Jaya S. Kulchandani,et al.  Moving object detection: Review of recent research trends , 2015, 2015 International Conference on Pervasive Computing (ICPC).

[3]  Rupali S. Rakibe,et al.  Background Subtraction Algorithm Based Human Behavior Detection , 2014 .

[4]  Sachin Sakhare,et al.  Image processing techniques for object tracking in video surveillance- A survey , 2015, 2015 International Conference on Pervasive Computing (ICPC).

[5]  Khalid Saeed,et al.  Moving Object Detection Using Background Subtraction , 2014, SpringerBriefs in Computer Science.

[6]  Ranjana Shende,et al.  Moving Object Detection with Fixed Camera and Moving Camera for Automated Video Analysis , 2014 .

[7]  Tieniu Tan,et al.  A survey on visual surveillance of object motion and behaviors , 2004, IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews).