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Sharma et al., 2016 - Google Patents

Multi-object tracking using TLD framework

Sharma et al., 2016

Document ID
12522146968433080498
Author
Sharma S
Khachane A
Motwani D
Publication year
Publication venue
2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT)

External Links

Snippet

This paper demonstrates the framework for multi-object tracking using TLD background. We examine long-term tracking of object in a video stream. The object is characterized by its location and extent in the video frame. In every next frame, the aim is to calculate the …
Continue reading at ieeexplore.ieee.org (other versions)

Classifications

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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6267Classification techniques
    • G06K9/6268Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
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    • G06K9/46Extraction of features or characteristics of the image
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    • G06K9/62Methods or arrangements for recognition using electronic means
    • G06K9/6201Matching; Proximity measures
    • G06K9/6202Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00221Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
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    • G06K9/6288Fusion techniques, i.e. combining data from various sources, e.g. sensor fusion
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    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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    • G06K9/00369Recognition of whole body, e.g. static pedestrian or occupant recognition
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    • G06F17/30781Information retrieval; Database structures therefor; File system structures therefor of video data
    • G06F17/30784Information 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
    • G06F17/30799Information 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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