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Porikli et al., 2003 - Google Patents

Human body tracking by adaptive background models and mean-shift analysis

Porikli et al., 2003

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Document ID
11690823374255840037
Author
Porikli F
Tuzel O
Publication year
Publication venue
IEEE international workshop on performance evaluation of tracking and surveillance

External Links

Snippet

We present an automatic, real-time human tracking and observation system. Robustness and speed are the two major bottlenecks of the existing approaches. We improve upon the robustness and speed of the current state-of-art by integrating a mean-shift based model …
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Classifications

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    • G06K9/62—Methods or arrangements for recognition using electronic means
    • G06K9/6267—Classification techniques
    • G06K9/6268—Classification techniques relating to the classification paradigm, e.g. parametric or non-parametric approaches
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06K9/3233—Determination of region of interest
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
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    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
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