Vehicle re-identification is a procedure for identifying a vehicle using multiple non-
overlapping cameras. The use of licence plates for re-identification have constraints …

The automatic parking system based on vision is greatly affected by uneven lighting, which
is difficult to make an accurate judgment on parking spaces in the case of complex image …

Vehicle re-identification is becoming an increasingly important problem in modern intelligent
transportation systems. Substantial results have been achieved with methods based on …

With the explosive growth of video data and the rapid development of computer vision
technology, more and more relevant technologies are applied in our real life, one of which is …

Unlike fixed cameras based Re-Identification (Re-ID), drones have greater maneuverability,
but they also bring more difficulties to Re-ID, such as more viewing angles and complex …

Vehicle re-identification (ReID) endeavors to associate vehicle images collected from a
distributed network of cameras spanning diverse traffic environments. This task assumes …

Method. As shown in Figure 1, in addition to the Euclidean distance (ED) based triplet loss
and a label smooth regularized softmax (LSRS) loss, the proposed spatial structural …

Image-based Vehicle ReID methods have suffered from limited information caused by
viewpoints, illumination, and occlusion as they usually use a single image as input. Graph …

Vehicle re-identification (re-ID) plays an important role in the automatic analysis of the
increasing urban surveillance videos and has become a hot topic in recent years. Vehicle re …

Vehicle re-identification aims to retrieve the target vehicle from the image gallery quickly and
accurately. Vehicle re-identification with deep learning has achieved considerable …