An Efficient Algorithm for Real-Time Object Detection in Images

Abstract

In this paper we have proposed an algorithm for object detection in various situations. Nowadays object detection and recognition has entered in every sphere of life in one or the other form. Applications of object detection are video surveillance, anti-theft system using cameras, face-recognition, biometric verification etc. Research are going on how to improve the performance in term of space and time complexity, how to deal with adverse conditions like improper lightning conditions, scene clutter, occlusion etc. and to reduce false positive rate etc. In this paper we have explained how to deal with the any situation while acquiring the images so that it can be used for better scene interpretation. Results have been generated using flash of light and dark region present in the image as some of the adverse situations. Here we have trained the system to detect the object using our algorithm. The algorithm is simple and very useful as it reduces the false positive rate as compared to contemporary algorithms and increases the efficiency of applications like video surveillance and scene interpretation etc.