Keypoints of interest based on spatio-temporal feature and MRF for cloud recognition system

Takahiro Suzuki, Takeshi Ikenaga

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Keypoint extraction has lately attracted attention in computer vision. Particularly, Scale-Invariant Feature Transform (SIFT) is one of them and invariant for scale, rotation and illumination change. In addition, the recent advance of machine learning becomes possible to recognize a lot of objects by learning large amount of keypoints. Recently, cloud system starts to be utilized to maintain large-scale database which includes learning keypoint. Some network devices have to access these systems and match keypoints. Kepoint extraction algorithm utilizes only spatial information. Thus, many unnecessary keypoints for recognition are detected. If only Keypoints of Interest (KOI) are extracted from input images, it achieves reduction of descriptor data and high-precision recognition. This paper proposes the keypoint selection algorithm from many keypoints including unnecessary ones based on spatio-temporal feature and Markov Random Field (MRF). This algorithm calculats weight on each keypoint using 3 kinds of features (intensity gradient, optical flow and previous state) and reduces noise by comparing with states of surrounding keypoints. The state of keypoints is connected by using the distance of keypoints. Evaluation results show that the 90% reduction of keypoints comparing conventional keypoint extraction by adding small computational complexity.

本文言語English
ホスト出版物のタイトル2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
DOI
出版ステータスPublished - 2013 12 1
イベント2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013 - Kaohsiung, Taiwan, Province of China
継続期間: 2013 10 292013 11 1

出版物シリーズ

名前2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013

Conference

Conference2013 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2013
国/地域Taiwan, Province of China
CityKaohsiung
Period13/10/2913/11/1

ASJC Scopus subject areas

  • 情報システム
  • 信号処理

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