Pedestrian detection from surveillance camera
Charmaine Rie Lau · DR-NTU (Nanyang Technological University) · 2018
Surveillant cameras are widely installed along roadways, and the numbers are steadily increasing. The aim of this project is to develop an automatic algorithm to detect the pedestrian from the camera. Such an automatic algorithm can bring many benefits. For example, pedestrian density can be known or predicted (i.e. counting the number of human). It can help respond more effectively to abnormal situations, such as overcrowded region.