ABSTRACT
This chapter presents survey regarding the study of object detection in videos or continuous sequence of frames captured by the static camera. Although many researches and good works have been performed in the area of computer vision, but this survey will make the clear image of comparison of object detection methods performed in prior researches. This chapter focuses on the real-time application areas of video surveillance and the concerning challenges in the respective areas in near future. All the background modeling techniques and their subcategories studied and implemented by various authors are mentioned in survey. This survey suggests the study of background modeling and background subtraction along with various other literature studies that justify the role of moving object detection in computer vision. It also depicts the major challenging issues available in real-time environment.
