具有全景和特寫(xiě)功能的車載終端關(guān)鍵技術(shù)研究
[Abstract]:In recent years, with more and more attention paid to vehicle monitoring, the demand of vehicle terminal equipment is expanding, so the variety of vehicle terminal products is becoming more and more rich, but the functions are not uniform, can not fully meet the existing monitoring needs. In this paper, the vehicle terminal equipment with panoramic and close-up functions is studied in depth, aiming at the problem that the function of the existing vehicle terminal equipment is not complete. The overall scheme of the vehicle terminal is as follows: the camera of the upper part of the vehicle terminal can move up and down under the driving of the vehicle cloud head so as to realize the close-up of the video surveillance screen in any direction; There are four wide-angle lenses fixed at 90 擄interval between the lower part of the vehicle terminal, and the video images collected by the four shots generate panoramic video through the panoramic mosaic system, so as to realize the panoramic monitoring function. This paper mainly studies the mechanical structure design, hardware circuit design and the realization of panoramic function of vehicle terminal. In addition, vehicle surveillance video anomaly detection is also the focus of this paper. Vehicle-mounted cloud head, vehicle-mounted mechanical structure and hardware circuit are the basis for the realization of vehicle functions. In this paper, the worm gear reducer and synchronous belt drive are used as the driving scheme of the vehicle cloud head, and the three-dimensional modeling and finite element analysis of the mechanical structure of the vehicle terminal are completed by using SolidWorks. At the same time, the hardware circuit design of the basic function module of the vehicle terminal is completed. The final production of the vehicle terminal runs well and can achieve basic functions. The emergence of panoramic technology overcomes the shortcomings of traditional vehicle security equipment monitoring and control of small visual angle, monitoring blind area, so this paper proposes a panoramic function based on multi-camera, and designs a panoramic image generation system based on image mosaic. An improved ORB feature point panoramic image mosaic algorithm is proposed. The experimental results show that the panoramic image generated by the system has good visual effect and compatibility. The quality of surveillance video indicates the merits and demerits of the vehicle monitoring system, but the surveillance video is easy to be affected by the interference and the video is abnormal. Therefore, this paper analyzes the causes of the vehicle monitoring video interference in a comprehensive way. An anomaly detection system for vehicle surveillance video is designed, and the algorithms for detecting video noise, sharpness, brightness and color deviation are introduced. Finally, the experimental results show that the algorithm is efficient and feasible. Combined with mechanical, electronic, image processing and computer vision technology, this paper designs and implements the vehicle terminal product with feature and panoramic functions. The biggest feature of the product is that a product can provide panoramic and close-up pictures. At the same time, aiming at the problem of video anomaly caused by interference, a video anomaly detection system is designed, which is of great help to improve the quality of surveillance video and improve the efficiency of maintenance. It has certain theoretical significance and practical value.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TN948.6
【參考文獻(xiàn)】
相關(guān)期刊論文 前10條
1 苗學(xué)健;;全景圖像拼接技術(shù)關(guān)鍵技術(shù)研究[J];通訊世界;2016年21期
2 錢(qián)青;臧冬菊;;一種改進(jìn)的Sobel算子圖像清晰度評(píng)價(jià)函數(shù)[J];計(jì)算機(jī)與數(shù)字工程;2015年10期
3 佘建國(guó);徐仁桐;陳寧;;基于ORB和改進(jìn)RANSAC算法的圖像拼接技術(shù)[J];江蘇科技大學(xué)學(xué)報(bào)(自然科學(xué)版);2015年02期
4 趙娜;袁家斌;徐晗;;智能交通系統(tǒng)綜述[J];計(jì)算機(jī)科學(xué);2014年11期
5 許宏科;秦嚴(yán)嚴(yán);陳會(huì)茹;;基于改進(jìn)ORB的圖像特征點(diǎn)匹配[J];科學(xué)技術(shù)與工程;2014年18期
6 羅鴻斌;;基于拉普拉高斯金字塔的數(shù)字圖像融合研究[J];自動(dòng)化與儀器儀表;2014年03期
7 姬貫新;周利莉;;智能視頻監(jiān)控系統(tǒng)中的干擾檢測(cè)及分類[J];數(shù)據(jù)采集與處理;2013年02期
8 王健;陳洪斌;周國(guó)忠;安濤;;改進(jìn)的Brenner圖像清晰度評(píng)價(jià)算法[J];光子學(xué)報(bào);2012年07期
9 余燕飛;鄭p,
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