Improving vehicle tracking rate and speed estimation in dusty and snowy weather conditions with a vibrating camera.

ABSTRACT: Traffic surveillance systems are interesting to many researchers to improve the traffic control and reduce the risk caused by accidents. In this area, many published works are only concerned about vehicle detection in normal conditions. The camera may vibrate due to wind or bridge movement. Detection and tracking of vehicles is a very difficult task when we have bad weather conditions in winter (snowy, rainy, windy, etc.), dusty weather in arid and semi-arid regions, at night, etc. Also, it is very important to consider speed of vehicles in the complicated weather condition. In this paper, we improved our method to track and count vehicles in dusty weather with vibrating camera. For this purpose, we used a background subtraction based strategy mixed with an extra processing to segment vehi

SUBMITTER: Yaghoobi Ershadi N 

PROVIDER: S-EPMC5738070 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature