Vehicle detection algorithm based on codebook and local binary patterns algorithms

Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of the complex environment.Only by the color features of the pixel or only by the texture features of image cannot establish a suitable background model for the moving vehicles. In order to solve this problem, the Gaussian pyramid layered algorithm is proposed, combining with the advantages of the Codebook algorithm and the Local binary patterns(LBP) algorithm. Firstly, the image pyramid is established to eliminate the noises generated by the camera shake. Then, codebook model and LBP model are constructed on the low-resolution level and the high-resolution level of Gaussian pyramid, respectively. At last, the final test results are obtained through a set of operations according to the spatial relations of pixels. The experimental results show that this algorithm can not only eliminate the noises effectively, but also save the calculating time with high detection sensitivity and high detection accuracy.     

基于ARM11的视频实时传输系统

本文介绍了一种H.264视频流实时传输系统的设计和实现方法。该系统包括服务器和客户端两大部分。服务器端以三星公司最新ARM11芯片S3C6410作为主控制器,在嵌入式linxu环境下,利用V4L2接口技术、最新的H.264视频编码技术、RTP/RTCP传输协议完成视频的实时采集、编码、传输。在客户端完成了视频实时显示与存储的应用程序开发。经测试,该系统可达到25fps@720×480的画质效果,传输视频清晰、稳定,具有很强的实用性和广阔的应用前景。     

基于局部更新的分层码本目标检测算法

为了解决复杂环境下如树木摇摆、水波晃动等波动式干扰及光照变化对运动目标检测产生影响的问题,给出了一种基于码本模型的运动目标检测算法。考虑到实际场景中背景的变化主要体现在亮度方面,首先对视频序列图像进行颜色空间转化,由RGB空间转化到YUV空间,然后利用Box模型优化了码本模型参数和训练策略。目标检测时,采用局部背景更新方法,即利用帧差法确定变化区域,结合分层码本思想,实时更新背景模型,以达到精确提取运动目标的目的。对比实验表明在背景中存在扰动或者光照发生变化等情况下,该算法都能够对运动目标进行有效检测,具有一定实用性和鲁棒性。     

基于ARM11的无线视频监控系统的设计

针对目前视频监控的实际需求,结合嵌入式技术、图像处理技术,设计并实现了一种可靠性高、成本低的嵌入式无线视频监控系统;系统选用S3C6410微处理器作为主控制器,利用USB摄像头进行采集,利用S3C6410的硬件编解码模块进行H.264编码,采用实时传输协议通过无线局域网(基于802.11g)进行视频传输;测试表明,系统设计合理,视频采集编码效率高、图像连续性好、传输丢帧率低,运行稳定.