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Estimating the number of vehicles present in traffic video sequences is a common task in applications such as active traffic management and automated route planning. There exist several vehicle counting methods such as Particle Filtering or Headlight Detection, among others. Although Principal Component Pursuit (PCP) is considered to be the state-of-the-art for video background modeling, it has not...
In this paper, a real-time vehicle detection system is designed and implemented on an FPGA (Field Programmable Gate Array). The system is composed of an infrared camera and an image acquisition and processing board developed by our research team. An FPGA chip and a DSP chip are embedded in the image board as the major calculation units, which make realtime computation possible. First, edge features...
In this study, we propose a novel, lightweight approach to real-time detection of vehicles using parts at intersections. Intersections feature oncoming, preceding, and cross traffic, which presents challenges for vision-based vehicle detection. Ubiquitous partial occlusions further complicate the vehicle detection task, and occur when vehicles enter and leave the camera's field of view. To confront...
Vehicle classification is a hard task in ITS. A real-time vehicle classification method based on eigenface is proposed, it includes two main steps: training and classification. In the training step, first, using the time average image approach to obtain and update the background model, and then, using the background difference approach to detect and extract the outline of a moving vehicle, furthermore...
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