期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：2
期号：6
页码：173-175
出版社：International Journal of Soft Computing & Engineering
摘要：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.
