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[OtherRobust_car_tracking_using_Kalman_Filtering

Description: We present a real-time model-based vision approach for detecting and tracking vehicles from a moving platform. It was developed in the context of the CMU Navlab project and is intended to provide the Navlabs with situational awareness in mixed trac. Tracking is done by combining a simple image processing technique with a 3D extended Kalman lter and a measurement equation that projects from the 3D model to image space. No ground plane assumption is made. The resulting system runs at frame rate or higher, and produces excellent estimates of road curvature, distance to and relative speed of a tracked vehicle. We have complemented the tracker with a novel machine learning based algorithm for car detection, the CANSS algorithm, which serves to initialize tracking
Platform: | Size: 387072 | Author: zhangjianrong | Hits:

[OtherFastCarDetectionUsingImageStripFeatures

Description: Fast Car Detection Using Image Strip Features.pdf 车辆检测较好论文,检测率很高,不需要背景学习-Fast Car Detection Using Image Strip Features.pdf better vehicle detection paper, the high detection rate, do not need to learn background
Platform: | Size: 959488 | Author: | Hits:

[Special EffectsImage-detection-auto-target

Description: 该代码用于检测交通视频中汽车目标,涉及到数学形态学。-The code is used to detect traffic video in the car target involves mathematical morphology.
Platform: | Size: 1024 | Author: 王情伟 | Hits:

[Special Effectstraffic

Description: 交通视频中的车辆检测,这个例子使用mmreader函数,implay函数和其他图像处理函数检测交通视频录像中浅颜色的车-Traffic in the video vehicle detection, this example uses mmreader function, implay functions and other image processing functions to detect traffic light color video in the car
Platform: | Size: 2048 | Author: 杨凡稳 | Hits:

[Special Effects233

Description: 车牌自动识别系统也是智能交通系统的重要组成部分。它能将输入的汽车图像通过车牌定位、车牌字符分割和车牌字符识别等一系列步骤,输出为几个字节大小的车牌字符串,无论在存储空间占用上还是在于管理数据库相连等方面都有着无可比拟的优越性。在大型停车场、高速公路、交通部门的违章检测以及桥梁的收费站管理等场合,都有着广泛的应用前景。车牌识别系统的成功开发将大大加速智能交通系统的发展进程。(The license plate recognition system is also an important part of the intelligent transportation system. It can output the input car image through a series of steps, such as license plate location, license plate character segmentation and license plate character recognition. It can be output into a few byte size license plate string. It has unparalleled superiority in both storage space and management database. It has wide application prospects in large parking lots, expressway, traffic department's violation detection and Bridge toll station management. The successful development of the license plate recognition system will greatly accelerate the development process of the intelligent transportation system.)
Platform: | Size: 17705984 | Author: 123332211 | Hits:

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