[1] Zhang Suofei, Filliat David, Wu Zhenyang,. Online object detection and recognitionusing motion information and local feature co-occurrence [J]. Journal of Southeast University (English Edition), 2012, 28 (4): 404-409. [doi:10.3969/j.issn.1003-7985.2012.04.006]

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Online object detection and recognitionusing motion information and local feature co-occurrence()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

28

Issue:

2012 4

Page:

404-409

Research Field:

Computer Science and Engineering

Publishing date:

2012-12-30

Info

Title:

Online object detection and recognitionusing motion information and local feature co-occurrence

Author(s):

Zhang Suofei¹;  Filliat David²;  Wu Zhenyang¹

¹Key Laboratory of Underwater Acoustic Signal Processing of Ministry of Education, Southeast University, Nanjing 210096, China
²UEI, ENSTA ParisTech, Paris 91762, France

Keywords:

object recognition;  online learning;  motion information;  computer vision

PACS:

TP391.4

DOI:

10.3969/j.issn.1003-7985.2012.04.006

Abstract:

An object learning and recognition system is implemented for humanoid robots to discover and memorize objects only by simple interactions with non-expert users. When the object is presented, the system makes use of the motion information over consecutive frames to extract object features and implements machine learning based on the bag of visual words approach. Instead of using a local feature descriptor only, the proposed system uses the co-occurring local features in order to increase feature discriminative power for both object model learning and inference stages. For different objects with different textures, a hybrid sampling strategy is considered. This hybrid approach minimizes the consumption of computation resources and helps achieving good performances demonstrated on a set of a dozen different daily objects.

References:

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Memo

Memo:

Biographies: Zhang Suofei(1982—), male, graduate; Wu Zhenyang(corresponding author), male, doctor, professor, zhenyang@seu.edu.cn.
Foundation item: The National Natural Science Foundation of China(No.60672094, 60971098).
Citation: Zhang Suofei, Filliat David, Wu Zhenyang. Online object detection and recognition using motion information and local feature co-occurrence[J].Journal of Southeast University(English Edition), 2012, 28(4):404-409.[doi:10.3969/j.issn.1003-7985.2012.04.006]

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