<abstract xmlns="http://www.w3.org/1999/xhtml"><p> Since the traditional computer vision ranging algorithm is imperfect in pertinence and precision, night time monocular vision pedestrian ranging method is proposed for vehicular infrared night vision goggles. Firstly, the method calibrated the internal and external parameters of infrared night-vision goggles, then, it corrected distortion of collected Vehicular Infrared Night Vision Image, and finally it ranged objective pedestrians by using night time monocular vision pedestrian ranging algorithm. The experimental results show that this method has the characteristics of pertinence, high precision and good real-time, and has good practicability.</p></abstract>

Since the traditional computer vision ranging algorithm is imperfect in pertinence and precision, night time monocular vision pedestrian ranging method is proposed for vehicular infrared night vision goggles. Firstly, the method calibrated the internal and external parameters of infrared night-vision goggles, then, it corrected distortion of collected Vehicular Infrared Night Vision Image, and finally it ranged objective pedestrians by using night time monocular vision pedestrian ranging algorithm. The experimental results show that this method has the characteristics of pertinence, high precision and good real-time, and has good practicability.

Nighttime Pedestrian Ranging Algorithm Based on Monocular Vision

School of Information Science and Engineering, ShenYang Ligong University, ShenYang 110159,

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

{"article-title":"Nighttime Pedestrian Ranging Algorithm Based on Monocular Vision"}

Since the traditional computer vision ranging algorithm is imperfect in pertinence and precision, night time monocular vision pedestrian ranging method is...

Nighttime Pedestrian Ranging Algorithm Based on Monocular Vision

Pubblicato online: 20 ott 2016

Pagine: 156 - 167

DOI: https://doi.org/10.1515/cait-2016-0062

© by Hongxia Wang

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.