Rear-Lamp Vehicle Detection and Tracking in Low-Exposure Color Video for Night Conditions

A Survey on Object Detect, Track and Identify Using Video Surveillance

“…In 2010 Pheng Ann Heng(Sr. Mem.IEEE), Qian Chen and Group [16] Track Two-Stage object, a method based on Kernal and Active Contour. They can locate an object effectively in complex condition with camera motion, Partial occlusions, clutter etc the diffusion snake is used to evolve the object contour in order to improve the tracking precision.…”

Trends Towards Automotive Electronic Vision Systems for Mitigation of Accidents in Safety Critical Situations

“…Grayscale or brightness thresholding is a common starting point (Alt et al, 2008;Alcantarilla et al, 2008), though typically further filtering is required as there are many potential light sources that are not rear vehicle lamps, such as street lamps, headlamps of oncoming vehicles and reflections from signs. Employing a red color filter has been shown to be an effective way to remove non-vehicle light-sources, using a variety of colour spaces (Chen, 2009;Wang et al, 2005;Cabani et al, 2005;O'Malley et al, 2010a). Current commercial systems use non-standard camera hardware with custom hardware filters -i.e.…”

“…Headlamps have been detected by utilising, for example, tophat filters (Alcantarilla et al, 2008) or optical flow (Ohta & Niijima, 2005). Once tail lamp or headlamp candidates have been detected in a video frame, to improve robustness, a system can be put in place to pair the detected tail-lamps, to associate detected lamps with a target vehicle (Chen, 2009;O'Malley et al, 2010a;. Figure 9 shows an example of the detection of tail lamps and headlamps.…”

Improved Genetic Algorithm Optimization for Forward Vehicle Detection Problems

“…In which, reasonable and effective feature extraction is important for the detection phase. For this purpose, various prior knowledge such as shadow, symmetry, color, edge and texture are used [6][7][8][9][10]. In ref [6], shadow and edge information are used.…”