Learn More
Lots of rear end collisions due to driver inattention have been identified as a major automotive safety issue. A short advance warning can reduce the number and severity of the rear end collisions. This paper describes a Forward Collision Warning (FCW) system based on monocular vision, and presents a new vehicle detection method: appearance-based hypothesis(More)
To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel semi-supervised learning framework of combining visual and keyword features. We assume all of images in the database have been annotated. In this framework, the visual space graph (VSG) and keyword space graph (KSG) are first(More)
This paper presents a novel unsupervised learning framework named Image Retrieval Based on Manifold Learning and Incorporate Clustering. The dimensionality of image descriptors used in image retrieval applications is quite high. Given a query image, our algorithm first makes use of manifold learning (LPP) for dimensionality reduction and manifold ranking(More)
To bridge the semantic gap between low-level visual features and high-level semantic concepts, this paper puts forward a novel feedback mechanism which is based on both instance and keyword features. In offline part, keyword space model is first constructed and updated using manifold ranking annotation; in online image retrieval and feedback part, the(More)
  • 1