Please use this identifier to cite or link to this item: https://idr.nitk.ac.in/jspui/handle/123456789/8791
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKumar, K.S.C.
dc.date.accessioned2020-03-30T10:22:44Z-
dc.date.available2020-03-30T10:22:44Z-
dc.date.issued2013
dc.identifier.citation2013 IEEE 2nd International Conference on Image Information Processing, IEEE ICIIP 2013, 2013, Vol., , pp.214-218en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8791-
dc.description.abstractA new approach using phase edge based techniquefor night time pedestrian segmentation and tracking using Near IR camera is proposed in this paper. A Gabor filter is used to extract even weak potential vertical edges that belong to candidate pedestrian blocks even under non-uniform illuminations and poor contrast. Vertical and horizontal projection on Gabor filtered response is carried out to determine the bounding-box of pedestrian-like candidate blobs. Pedestrian like candidate blocks undergo through a series of rule based classifiers. Once such set of pedestrian blocks are identified, candidate pedestrian blocks are tracked in next consecutive frames of a video using density confidence based tracker which uses Gabor filter edge response for feature-space analysis. False positives are greatly removed using spatio-temporal analysis and tracking mechanism. Performance characterization of the algorithm has been carried out in highway roads under nonuniform illuminations and varying contrast. Experimental result shows that algorithm can produce a detection rate of nearly 69% and can be used in real-time. � 2013 IEEE.en_US
dc.titlePhase-edge based approach for pedestrian segmentation using NIR camera and tracking for driver assistanceen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

Files in This Item:
There are no files associated with this item.


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.