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Arya et al., 2016 - Google Patents

Real-time vehicle detection and tracking

Arya et al., 2016

Document ID
9420379169610238244
Author
Arya K
Tiwari S
Behwalc S
Publication year
Publication venue
2016 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

External Links

Snippet

Nowadays, the rapid increase in the number of the automobiles on the highway and urban roads have created many challenges regarding the proper management and control of the traffic. Detection and tracking of vehicles using the traffic surveillance system gives more …
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Classifications

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    • G06K9/32Aligning or centering of the image pick-up or image-field
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    • G06K9/3241Recognising objects as potential recognition candidates based on visual cues, e.g. shape
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    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
    • G06K9/00791Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798Recognition 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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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    • G06K9/00771Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6217Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • GPHYSICS
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/62Methods or arrangements for recognition using electronic means
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    • G06K9/6288Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
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