Capturing the Image of Occupants Inside the Car by using Inside-Car Camera during Vehicle Collision

Abstract

The safety concern in means of transport has been considerably increased in last few decades. Distinct Sensory systems have been applied inside and outside vehicles in order to save lives. In this regard, imaging and vision system are used for capturing the static position of the passengers inside the vehicle during collision. There are many approaches to capture an image concatenation from a camera and to analyze them. The image of the passengers is captured during rear end vehicle collision by an inside car camera which is fixed on the left top of front windshield and an event parsing algorithm identifies the collision that has occurred. The decomposing of the collision activity is classified into three activity and uses the Or-And Graph (OAG) to compose the compositions of the temporal relationship among the collision detection. An online parsing (OP) algorithm for OAG formed from Earle's parser is employed to parse the image and identify the passenger's condition. This technique could be used as an enhancement for the safety of the passengers and to provide immediate assistance during vehicle collision.