Vehicle Detection for Road Surveillance Systems using ViscontiTM 2 Image Recognition Processor

摘要

In this paper, a vehicle detection framework for road surveillance systems is presented. The framework is based on co-occurrence histograms of oriented gradients (CoHOGs), which are effective for object detection, using the ViscontiTM 2 high-performance image recognition processor. We have developed vehicle detection and tracking technologies on the platform and confirmed these technologies can be applied to road surveillance systems.