Presentation 2007-03-15
Identifying a Zoom-in Body Part with Feature-points Taracking
Akira MAKINO, Norimichi UKITA, Masatsugu KIDODE,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In this research, we focus on how to track a target region (e.g., head, hand, and etc.) of a person observed in the zoomed-in images. Most of previous tracking methods express a target with a single model. With the single model, however, it is very difficult to continuously track the target region without confusing it and its neighboring similar body-part (e.g., the forearm and the upper arm) because they might have the same texture patterns. In our method, a group of feature points in the target region is extracted and tracked as the model of the target region in order to avoid the miss tracking. Small differences between the neighboring regions can be verified by focusing only on the feature points. In addition, (1) the stability of tracking is improved using Particle filtering and (2) tracking robust to occlusions is realized by removing unreliable ourlier points with a robust estimation technique using random sampling. Experimental results demonstrate the effectiveness of our method even when occlusions occur.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Object tracking / Tracking in zoomed-in images / Feature-points tracking / Particle filtering
Paper # PRMU2006-240
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Conference Information
Committee PRMU
Conference Date 2007/3/8(1days)
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Paper Information
Registration To Pattern Recognition and Media Understanding (PRMU)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Identifying a Zoom-in Body Part with Feature-points Taracking
Sub Title (in English)
Keyword(1) Object tracking
Keyword(2) Tracking in zoomed-in images
Keyword(3) Feature-points tracking
Keyword(4) Particle filtering
1st Author's Name Akira MAKINO
1st Author's Affiliation Graduated School of Information Science, Nara Institute of Science and Technology()
2nd Author's Name Norimichi UKITA
2nd Author's Affiliation Graduated School of Information Science, Nara Institute of Science and Technology
3rd Author's Name Masatsugu KIDODE
3rd Author's Affiliation Graduated School of Information Science, Nara Institute of Science and Technology
Date 2007-03-15
Paper # PRMU2006-240
Volume (vol) vol.106
Number (no) 605
Page pp.pp.-
#Pages 6
Date of Issue