Jaiswal et al., 2015 - Google Patents
Survey paper on various techniques of recognition and trackingJaiswal et al., 2015
View PDF- Document ID
- 16186144929228178255
- Author
- Jaiswal N
- Gupta V
- Mishra A
- Publication year
- Publication venue
- 2015 international conference on advances in computer engineering and applications
External Links
Snippet
This paper describes different methods used for identification and tracking of player and license plate. Although object (Player and license plate) recognition have projected many challenges because the algorithms did not give correct results. But time to time, several …
- 238000000034 method 0 title abstract description 29
Classifications
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- G06K9/20—Image acquisition
- G06K9/32—Aligning or centering of the image pick-up or image-field
- G06K9/3233—Determination of region of interest
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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- G06K9/62—Methods or arrangements for recognition using electronic means
- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
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- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00711—Recognising video content, e.g. extracting audiovisual features from movies, extracting representative key-frames, discriminating news vs. sport content
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- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
- G06K9/00288—Classification, e.g. identification
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- G06F17/30784—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre
- G06F17/30799—Information retrieval; Database structures therefor; File system structures therefor of video data using features automatically derived from the video content, e.g. descriptors, fingerprints, signatures, genre using low-level visual features of the video content
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