Automatic Video Surveillance System for Pedestrian Crossing Using Digital Image Processing

Abstract

Objective: This work proposes a novel technique to assist the physically challenged people to cross the road near the traffic signal or in the pedestrian crossing with the help of automatic video surveillance. Methods/Statistical Analysis: As per the Indian roadway corporation it is decided to minimum 1.8m (width) × 2.2m (height) is allocated for walking zone. 1800mm width is reserved for wheel chair movement in pedestrian. Detection of moving objects in a stable place needs the high security level. Findings: Image processing segmentation algorithm plays an important role to track the moving object in the fixed pedestrian crossing which can assist the physically challenged people or the elderly person. Various morphological filtering operations enhance the quality of segmenting the moving person in the video. This methodology employs histogram of Gaussian detection and object detection is done. The proposed work improves it results by 0.71% accuracy. Applications/Improvements: This work helps the physically challenged to cross the pedestrian in a safe manner and helps for autonomous vehicles. Keywords: Image Processing, Morphological Operations, Pedestrian Crossing, SVM Classification, Video Surveillance