Publication

Object Detection and Matching with Mobile Cameras Collaborating with Fixed Cameras

Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi
2008
Conference Papers

Abstract

A system is presented to detect and match any objects with mobile cameras collaborating with fixed cameras observing the same scene. No training data is needed. Various object descriptors are studied based on grids of region descriptors. Region descriptors such as histograms of oriented gradients and covariance matrices of different set of features are evaluated. A detection and matching approach is presented based on a cascade of descriptors outperforming previous approaches. The object descriptor is robust to any changes in illuminations, viewpoints, color distributions and image quality. Objects with partial occlusion are also detected. The dynamic of the system is taken into consideration to better detect moving objects. Qualitative and quantitative results are presented in indoor and outdoor urban scenes.

Official source

https://infoscience.epfl.ch/entities/publication/4c63728f-6957-4452-9b97-0067f53537d4

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Michel Bierlaire, Murat Kunt, Alexandre Massoud Alahi
2008
Conference Papers

Abstract

Official source

https://infoscience.epfl.ch/entities/publication/4c63728f-6957-4452-9b97-0067f53537d4

About this result

Related concepts (24)

Scale-invariant feature transform

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. Applications include object recognition, robotic mapping and navigation, , 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving. SIFT keypoints of objects are first extracted from a set of reference images and stored in a database.

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Corner detection is an approach used within computer vision systems to extract certain kinds of features and infer the contents of an image. Corner detection is frequently used in motion detection, , video tracking, image mosaicing, panorama stitching, 3D reconstruction and object recognition. Corner detection overlaps with the topic of interest point detection. A corner can be defined as the intersection of two edges. A corner can also be defined as a point for which there are two dominant and different edge directions in a local neighbourhood of the point.

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Object detection is a computer technology related to computer vision and that deals with detecting instances of semantic objects of a certain class (such as humans, buildings, or cars) in digital images and videos. Well-researched domains of object detection include face detection and pedestrian detection. Object detection has applications in many areas of computer vision, including and video surveillance. It is widely used in computer vision tasks such as , vehicle counting, activity recognition, face detection, face recognition, video object co-segmentation.

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