Pedestrain Tracking on Streets using Matlab

Screenshot of a Frame from Output Video
Screenshot of a Frame from Output Video
Screenshot of a Frame from Output Video

With the implementation of this project, we are aiming at the below-mentioned objectives: - • To improve road safety by providing more information about human objects (pedestrians) to the people traveling on the street. • To help drivers with poor eyesight for recognizing pedestrians. • To analyze the traffic data.

The “Pedestrian Tracking on Streets using Matlab” technique that we propose will overcome most of the limitations of the earlier and in-use techniques. • This project involves techniques like Aggregate Channel Feature, Kalman Filter, etc. that are implemented in Matlab for detecting and tracking human objects. • If we use live video by attaching the camera to the car, the pedestrians are highlighted and it helps the drivers recognize them in dim lights and have an enhanced view of the street. • As the equipment needed for the implementation of the project is very minimal, the project can be used on a large scale.