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Mokha et al., 2015 - Google Patents

A review of computer vision system for the vehicle identification and classification from online and offline videos

Mokha et al., 2015

View PDF
Document ID
8480371549323129372
Author
Mokha B
Kumar S
Publication year
Publication venue
An International Journal on Signal and Image Processing

External Links

Snippet

The traffic on the roads is increasing day by day. There is dire need of developing an automation system that can effectively manage and control the traffic on roads. The traffic data of multiple vehicle types on roads is also important for taking various decisions related …
Continue reading at www.academia.edu (PDF) (other versions)

Classifications

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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
    • G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00818—Recognising traffic signs
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    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
    • G—PHYSICS
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