Video Surveillance System for Pedestrian Crossing using Matlab
Pedestrian detection and monitoring in the surveillance framework are important for several services covering irregular event detection and human gait, congestion or overcrowded evaluation in a surrounding environment, gender classification, fall detection for in elderly human beings and so on. The processing of the image segmentation algorithm plays an important role in monitoring the travelling target at the fixed footbridge, which supports the visually disabled or the elderly. Different morphological filtering processes increase the efficiency of moving people segmenting the film. This technique uses a Gaussian detector histogram and they observe objects. This work allows the physically disabled to comfortably navigate the pedestrian and allows automated vehicles.