REAL TIME FACE DETECTION AND PEOPLE COUNTING USING VIOLA-JONES

Abstract

Image processing techniques like face detection play a significant role in counting the number of people present at any given location which is under surveillance of a camera or any face detection system. This data collected can be processed and analyzed to deduce important findings. Data Mining plays a major role in analysis of this data and production of important statistics. Based on these statistics important decisions are made. This paper proposes one such system that uses Viola Jones face detection algorithm to keep a count of number of visitors at railway station throughout the day and heuristic data mining technique to analyze this stored data and suggest the required action. Today, a great deal of research has been distributed keeping in mind the end goal to determine such issue which is check individuals utilizing camcorder. This is not a straightforward assignment; there are a few circumstances hard to settle even with today's PC speeds (the calculation needs to work progressively so it makes limits for the multifaceted nature of strategies for location and following). Possibly a standout amongst the most troublesome, is individuals impediments. At the point when individuals entering or leaving of the field of view in gathering, it is difficult to recognize every one of the people in this gathering.