Object Detection Via Optical Information And Background Information

被引：0
|
作者：
Sun, Xian [1 ]
Zhu, Songhao [1 ]
Cheng, Yanyun [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Sch Automat, Nanjing 210023, Jiangsu, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
Salient Object Detection; Mean Histogram df Optical Flow; Optical Information; Background Information; MIXTURE; MODEL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper presents a novel method to detect salient objects by exploiting the optical information and background information. Specifically, each video image is first segmented into superpixels; then, the optical information and color information is utilized to obtain the initial result of each salient object; finally, the accurate result of each salient object is obtained by taking into consideration the background information. Experimental results conducted on the SegTrackv2 database demonstrate the the effectiveness of the proposed method.
引用
收藏
页码：2002 / 2006
页数：5
相关论文
共 50 条
  • [21] Detection of a Moving Object without a priori Information about the Velocity Vector and Image and Background Intensities
    Trifonov, A. P.
    Kutsov, R. V.
    OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING, 2009, 45 (01) : 22 - 29
  • [22] The Importance of the Entrepreneurial Background in the Detection and the Utilization of the Information
    Kinias, Ioannis G.
    PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON INTEGRATED INFORMATION (IC-ININFO 2012), 2013, 73 : 564 - 572
  • [23] Class Incremental Learning via Semantic Information Mapping and Background Information Calibrating
    Xian, Yan
    Yu, Hong
    Li, Huaxiong
    Wang, Guoyin
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2024, 34 (12) : 13373 - 13385
  • [24] Robust object tracking using local kernels and background information
    Jeyakar, Jaideep
    Babu, R. Venkatesh
    Ramakrishnan, K. R.
    2007 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOLS 1-7, 2007, : 2301 - 2304
  • [25] A robust video object segmentation scheme with prestored background information
    Pan, JH
    Lin, CW
    Gu, C
    Sun, MT
    2002 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOL III, PROCEEDINGS, 2002, : 803 - 806
  • [26] Saliency Detection via Background Seeds by Object Proposals
    Jian, Muwei
    Zhao, Runxia
    Dong, Junyu
    Lam, Kin-Man
    2018 ASIA-PACIFIC SIGNAL AND INFORMATION PROCESSING ASSOCIATION ANNUAL SUMMIT AND CONFERENCE (APSIPA ASC), 2018, : 1100 - 1105
  • [27] Information-hiding cameras: Optical concealment of object information into ordinary images
    Bai, Bijie
    Lee, Ryan
    Li, Yuhang
    Gan, Tianyi
    Wang, Yuntian
    Jarrahi, Mona
    Ozcan, Aydogan
    SCIENCE ADVANCES, 2024, 10 (24):
  • [28] Salient object detection using the phase information and object model
    Hooman Afsharirad
    Seyed Alireza Seyedin
    Multimedia Tools and Applications, 2019, 78 : 19061 - 19080
  • [29] Learning an information theoretic transform for object detection
    Fang, JZ
    Qiu, GP
    IMAGE ANALYSIS AND RECOGNITION, PT 1, PROCEEDINGS, 2004, 3211 : 503 - 510
  • [30] Quantifying and Transferring Contextual Information in Object Detection
    Zheng, Wei-Shi
    Gong, Shaogang
    Xiang, Tao
    IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2012, 34 (04) : 762 - 777
12345