An automatic monitoring approach for unsupervised parking lots in outdoors

Chang-Hsing Lee, Ming-Gang Wen, Chin-Chuan Han, Dayong Kou
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引用次数: 35

Abstract

A video-based monitoring approach for outdoor parking lots has been developed in this paper. Since parking lots located in outdoor were the open and widespread spaces, moving objects in grabbed images were too small to obtain the detail and recognized image for the object, identification, object behavior analysis, or illegal event alarming. A dual-camera device was designed and calibrated manually. Using the calibrated parameters, multiple target images with high quality can be grabbed from widespread open spaces. The tracking process for a specified target can be easily switched to another when multiple objects appear in the monitoring space. All of them are stored in video-based databases of DVR systems. In addition, the object images are processed for the furthermore retrieval. Some experimental results were given to show the validity of our proposed approaches
一种室外无人看管停车场的自动监控方法
本文提出了一种基于视频的室外停车场监控方法。由于停车场位于室外,是一个开放而广泛的空间,抓取图像中的运动物体太小,无法获得物体的细节和识别图像,无法进行物体识别、物体行为分析或非法事件报警。设计并手动标定了双摄像头装置。利用标定后的参数,可以从广泛的开放空间中获取多幅高质量的目标图像。当监控空间中出现多个目标时,对指定目标的跟踪过程可以很容易地切换到另一个目标。所有数据都存储在DVR系统的视频数据库中。此外,还对目标图像进行了处理,以便进一步检索。实验结果表明了所提方法的有效性
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