This paper presents a pointer positioning method based on Hough transform, which turns an arc scale to a transverse rectangular scales, scans the region from bottom to top line by line, determines smaller rectangular area containing pointer only, uses Hough transform in linear theory to detect the pointer position in the region. Experiments show that this method can locate the pointer position quickly and efficiently in analog measuring instruments.

In this paper, an algorithm is presented, which takes grid clique as a whole to find its all instance points neighbor lists in 9-neighbor area, and inserts them into the candidate extension clique list, then deletes the records that dont meet the criteria in the list, finally combines grid cliques and candidate extension clique list to generate maximal clique. The paper discusses the characteristics of spatial co-location pattern algorithm, and makes statistics of its maximal clique number generated in different distance threshold. The experiment shows that the improved algorithm can find out more maximal cliques.

Making the video invigilation more easy is a hot topic in the research of intelligent monitoring system. This paper proposes the examinee identification algorithm based on the video surveillance. Firstly, transform the video frame to the orthograph by using perspective transformation, extract the desks template, and get the place of desk according to template matching, then get the place of examinee. Comparing the image about no people included and people included will detect whether examinee in his place by using the comprehensive method which is background subtraction and the normalized matching algorithm, so can statistical number of examinees. Experimental results show that this method is simple, has a good real-time performance and robustness.