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Object detection

Object detection is a computer technology related to computer vision and image processing that deals with detecting instances of semantic objects of… 
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Related topics

Related topics

15 relations
Ant roboticsCellCognitionComputer visionDeep learning

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2014
2014
Structured prediction via output space search
We consider a framework for structured prediction based on search in the space of complete structured outputs. Given a structured… 
2013
2013
Tensor-Based High-Order Semantic Relation Transfer for Semantic Scene Segmentation
We propose a novel nonparametric approach for semantic segmentation using high-order semantic relations. Conventional context… 
Highly Cited
2010
Highly Cited
2010
A knowledge-based approach to the iris segmentation problem
Highly Cited
2010
Highly Cited
2010
A Two-Stage Correlation Method for Stereoscopic Depth Estimation
The computation of stereoscopic depth is an important field of computer vision. Although a large variety of algorithms has been… 
Highly Cited
2007
Highly Cited
2007
Unsupervized Video Segmentation With Low Depth of Field
In this paper, a novel segmentation algorithm based on matting model is proposed to extract the focused objects in low depth-of… 
2007
2007
A network of sensor-based framework for automated visual surveillance
Highly Cited
2006
Highly Cited
2006
Effective vehicle detection technique for traffic surveillance systems
Highly Cited
2006
Highly Cited
2006
TRICam - An Embedded Platform for Remote Traffic Surveillance
In this paper we present a novel embedded platform, dedicated especially to the surveillance of remote locations under harsh… 
Highly Cited
2006
Highly Cited
2006
The Single Frame Stereo Vision System for Reliable Obstacle Detection Used during the 2005 DARPA Grand Challenge on TerraMax
Autonomous driving in off-road environments requires an exceptionally capable sensor system, especially given that the… 
Highly Cited
1989
Highly Cited
1989
Object recognition based on graph matching implemented by a Hopfield-style neural network
A model-based object recognition technique is presented. For each model, distinct features such as curvature points are extracted… 
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