Pedestrian Behaviour Analysis through Computer Vision

Pedestrian Behaviour Analysis through Computer Vision

Pedestrian Posture detection and estimation is important need in modern world. From Autonomous Vehicles to Smart Cities Security and Surveillance System, it has vast application in modern world.
Posture estimation algorithms are a subcategory of object detection algorithms where key points on a person’s body are identified. These points can be macroscopic (hands, face, feet) or more detailed features (fingers, frame) allowing for clearer analysis of the person’s activity with temporal tracking allowing more insightful activity recognition.
Think Transportation undertakes internal project to develop Peron Posture Estimation compatible with different modern requirements.