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Computer Science - Image Processing | Moving Object Detection Using Background Subtraction

Moving Object Detection Using Background Subtraction

Shaikh, Soharab Hossain, Saeed, Khalid, Chaki, Nabendu

2014, X, 67 p. 32 illus.

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This Springer Brief presents a comprehensive survey of the existing methodologies of background subtraction methods. It presents a framework for quantitative performance evaluation of different approaches and summarizes the public databases available for research purposes. This well-known methodology has applications in moving object detection from video captured with a stationery camera, separating foreground and background objects and object classification and recognition. The authors identify common challenges faced by researchers including gradual or sudden illumination change, dynamic backgrounds and shadow and ghost regions. This brief concludes with predictions on the future scope of the methods. Clear and concise, this brief equips readers to determine the most effective background subtraction method for a particular project. It is a useful resource for professionals and researchers working in this field.

Content Level » Research

Keywords » Background subtraction - Frame differencing - Moving object detection from video - Object tracking - Optical flow - Statistical background modeling - Temporal differencing

Related subjects » Image Processing - Information Systems and Applications

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