DET: Efficient Pedestrian Detection Applied to People Observation
Due to the large volume of data obtained from surveillance cameras, the understanding and automatic interpretation of human activities in videos is of great interest in order to assist in the tasks of security agents. Among problems that need to be handled, pedestrian detection is essential so that the huge amounts of visual data captured by surveillance cameras is reduced to a volume that can be managed by current computing systems. Thus, the activities being performed by agents present in a scene can be analyzed. This project proposed the development of methods for pedestrian detection to reduce computational cost and maintain the accuracy of detectors.
Contributions generated from this research…