Results 261 to 270 of about 7,519,950 (294)
Some of the next articles are maybe not open access.
Context-Based Scene Understanding
International Journal of Multimedia Data Engineering and Management, 2016Context plays an important role in performance of object detection. There are two popular considerations in building context models for computer vision applications; type of context (semantic, spatial, scale) and scope of the relations (pairwise, high-order).
Esfandiar Zolghadr, Borko Furht
openaire +1 more source
An Architecture for Automated Scene Understanding
Seventh International Workshop on Computer Architecture for Machine Perception (CAMP'05), 2006This paper presents distributed, automated, scene surveillance architecture. Object detection and tracking is performed by a set of region and object agents. The area under surveillance is divided in several sub-areas. One camera is assigned to each sub-area. A region agent is responsible for monitoring a given sub-area. Background subtraction is first
Ruth Aguilar-Ponce +3 more
openaire +1 more source
Convex Optimization for Scene Understanding
2013 IEEE International Conference on Computer Vision Workshops, 2013In this paper we give a convex optimization approach for scene understanding. Since segmentation, object recognition and scene labeling strongly benefit from each other we propose to solve these tasks within a single convex optimization problem. In contrast to previous approaches we do not rely on pre-processing techniques such as object detectors or ...
Mohamed Souiai +3 more
openaire +1 more source
IEEE Signal Processing Letters, 2019
Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder–decoder architecture for road scene understanding in an end-to-end manner. This core trainable understanding engine includes an encoder network, a decoder network with two streams, and a pixel-level fusion network with classification ...
Wujie Zhou +3 more
openaire +1 more source
Road scene understanding is a difficult task in autonomous driving. In this letter, we propose a novel deep encoder–decoder architecture for road scene understanding in an end-to-end manner. This core trainable understanding engine includes an encoder network, a decoder network with two streams, and a pixel-level fusion network with classification ...
Wujie Zhou +3 more
openaire +1 more source
Human to Machine Scene Understanding
Scene understanding is a complex but essential task for humans and machines. Humans have a unique ability to analyze objects in their environment and relate these objects to their background. However, understanding objects and establishing a relationship with background is challenging for machines.Selin Ceylan, Mehmet Önder Efe
openaire +2 more sources
Understanding and Modeling Communication Scenes
2006 IEEE Spoken Language Technology Workshop, 2006This paper discusses the technologies required to better understand and model human-human communication, and to use the resulting technologies to build computer-enhanced communication tools. As networks and computers become more pervasive, groups are increasingly using technology to assist communication and collaboration and to reduce travel needs. The
openaire +1 more source
Context Driven Scene Understanding
2015Understanding objects in complex scenes is a fundamental and challenging problem in computer vision. Given an image, we would like to answer the questions of whether there is an object of a particular category in the image, where is it, and if possible, locate it with a bounding box or pixel-wise labels. In this dissertation, we present context driven
openaire +3 more sources
Scene understanding and behaviour analysis
Pattern Recognition Letters, 2013Antonio Bandera Rubio +2 more
openaire +2 more sources
Recognition and action for scene understanding
Neurocomputing, 2015Rebeca Marfil +2 more
openaire +2 more sources
Deep Learning-Based Scene Understanding for Autonomous Robots: A Survey
Intelligence & Robotics, 2023Yiyang Chen, Weidong Cao, Guangyi Tang
exaly