期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN:2320-9798
电子版ISSN:2320-9801
出版年度:2014
卷号:2
期号:4
出版社:S&S Publications
摘要:Video processing is a research topic in the area of computer visi on. Traffic monitoring is a key issue to be addressed in day - to - day's life. To address this issue, this system is going to process the video obtained in terms of frame sequence. The system proposed is going to calculate the signal time dynamically by taking into account the number of vehicles present in the current lane. The number of vehicles is counted by segmenting the input traffic data set into frames and comparing each incoming new frame with that of the Dynamic - Background. Dynamic - Background is constantly updated from Dynamic Environment Register (DER) where changes in the background are constantly updated. A counter and a weight value are assigned to each pixel of the Dynamic - Background. For a pixel position in Dynamic - Background the intensity value with the largest count in all frames is assi gned. From the Dynamic - Background, an absolute difference of incoming frames of the dataset is taken to obtain the Object of Interest (OO I). From the object obtained, features are extracted using a holistic classifier and those features are compared with that of the existing object's features to identify the presence of partial occlusion. Depending upon the score for occlusion and the sco re for objects feature found, the presence of an object can be found. In this paper performance evaluation is done based on the number of objects found in a particular frame. This OOI can be extended to other object counting applications like pedestrian de tection, etc