In recent years, automatic recognition of vehicle logos has become one of the important issues in modern cities. This is due to the unlimited increase of cars and transportation systems that make it impossible to be fully managed and monitored by human. In this research, an automatic real-time logo recognition system for moving cars is introduced based on histogram manipulation. In the proposed...

Vehicle Manufacturer Recognition (VMR) has recently become a key feature to be used when license plate numbers cannot be detected or fake plate numbers are used in traffic control and management applications. One of the clearest indicators of a vehicle manufacturer is its vehicle logo. In this way, most of the vision-based VMR approaches are based on vehicle logo classification. In this work, w...

In this paper, we present a novel learning-based scheme for vehicle logo recognition (VLR). This is termed Multilayer Pyramid Network Based on Learning (MLPNL) and based the principle that considering multiple resolutions helpful extracting valuable features benefit final performance. The innovations of include (1) multilayer pyramid network, with pixel difference matrices (PDMs) as its input o...

Video-based analysis of traffic surveillance is an active area of research, which has a wide variety of applications in intelligent transport systems (ITSs). In particular, urban environments are more challenging than highways due to camera placement, background clutter, and vehicle pose or orientation variations. This paper provide a comprehensive review of the state-of-the-art video processin...

Logo detection from images has many applications, particularly for brand recognition and intellectual property protection. Most existing studies for logo recognition and detection are based on small-scale datasets which are not comprehensive enough when exploring emerging deep learning techniques. In this paper, we introduce “LOGONet”1, a large-scale logo image database for logo detection and b...

Recently, there has been a flurry of industrial activity around logo recognition, such as Ditto’s service for marketers to track their brands in user-generated images, and LogoGrab’s mobile app platform for logo recognition. However, relatively little academic or open-source logo recognition progress has been made in the last four years. Meanwhile, deep convolutional neural networks (DCNNs) hav...