ON VISUAL OBJECT TRACKING USING ACTIVE APPEARANCE MODELS

被引：0
|
作者：
Hoffmann, M. R. [1 ]
Herbst, B. M. [1 ]
Hunter, K. M. [1 ]
机构：
[1] Univ Stellenbosch, Appl Math, Private Bag X1, ZA-7602 Stellenbosch, South Africa
来源：
SAIEE AFRICA RESEARCH JOURNAL | 2007年 / 98卷 / 02期
基金：
新加坡国家研究基金会;
关键词：
active appearance models; particle filter; tracking;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Active appearance models (AAMs) provide an elegant framework for tracking objects. Using them in a deterministic algorithm to perform tracking is not robust enough since no history is used of the objects movement and position. We discuss two approaches to rectify this situation. Both techniques are based on the particle filter. The first technique initialises the AAM search algorithm with a shape estimate obtained from an active contour tracker. A combination of a particle filter and an AAM forms the foundation for the second technique. Experimental results indicate the effectiveness of these techniques.
引用
收藏
页码：52 / 58
页数：7
相关论文
共 50 条
  • [1] Visual tracking using active appearance models
    Birkbeck, N
    Jagersand, M
    1ST CANADIAN CONFERENCE ON COMPUTER AND ROBOT VISION, PROCEEDINGS, 2004, : 2 - 9
  • [2] A Survey of Appearance Models in Visual Object Tracking
    Li, Xi
    Hu, Weiming
    Shen, Chunhua
    Zhang, Zhongfei
    Dick, Anthony
    Van den Hengel, Anton
    ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2013, 4 (04)
  • [3] Object Tracking Using Deep Convolutional Neural Networks and Visual Appearance Models
    Mocanu, Bogdan
    Tapu, Ruxandra
    Zaharia, Titus
    ADVANCED CONCEPTS FOR INTELLIGENT VISION SYSTEMS (ACIVS 2017), 2017, 10617 : 114 - 125
  • [4] Moving object tracking using active models
    Jang, D
    Choi, HI
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 648 - 652
  • [5] Enhanced appearance models for object tracking
    Zhao, An
    Brooks, Michael J.
    Dick, Anthony R.
    PROCEEDINGS OF THE FOURTH INTERNATIONAL CONFERENCE ON IMAGE AND GRAPHICS, 2007, : 513 - +
  • [6] ADAPTIVE APPEARANCE LEARNING FOR VISUAL OBJECT TRACKING
    Khan, Zulfiqar Hasan
    Gu, Irene Yu-Hua
    2011 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, 2011, : 1413 - 1416
  • [7] Hierarchical appearance models in visual tracking
    Zajc, Luka Cehovin
    Leonardis, Ales
    Kristan, Matej
    ELEKTROTEHNISKI VESTNIK, 2016, 83 (05): : 217 - 224
  • [8] RFID-assisted visual multiple object tracking without using visual appearance and motion
    Song, Rongzihan
    Wang, Zihao
    Guo, Jia
    Han, Boon Siew
    Wong, Alvin Hong Yee
    Sun, Lei
    Lin, Zhiping
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 2745 - 2749
  • [9] VISUAL OBJECT TRACKING BASED ON APPEARANCE MODEL SELECTION
    Yuan, Yuan
    Emmanuel, Sabu
    Lin, Weisi
    Fang, Yuming
    ELECTRONIC PROCEEDINGS OF THE 2013 IEEE INTERNATIONAL CONFERENCE ON MULTIMEDIA AND EXPO WORKSHOPS (ICMEW), 2013,
  • [10] Robust online appearance models for visual tracking
    Jepson, AD
    Fleet, DJ
    El-Maraghi, TF
    2001 IEEE COMPUTER SOCIETY CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, VOL 1, PROCEEDINGS, 2001, : 415 - 422
12345