Real-Time Logo Detection and Tracking in Video

被引：1
|
作者：
George, M. [1 ]
Kehtarnavaz, N. [1 ]
Rahman, M. [1 ]
Carlsohn, M. [2 ]
机构：
[1] Univ Texas Dallas, Richardson, TX 75083 USA
[2] Engn & Consultancy Comp Vis & Image Commun, Bremen, Germany
来源：
REAL-TIME IMAGE AND VIDEO PROCESSING 2010 | 2010年 / 7724卷
关键词：
Logo detection; SIFT; online color calibration; real-time implementation; moment invariants;
D O I：
10.1117/12.853598
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：
This paper presents a real-time implementation of a logo detection and tracking algorithm in video. The motivation of this work stems from applications on smart phones that require the detection of logos in real-time. For example, one application involves detecting company logos so that customers can easily get special offers in real-time. This algorithm uses a hybrid approach by initially running the Scale Invariant Feature Transform (SIFT) algorithm on the first frame in order to obtain the logo location and then by using an online calibration of color within the SIFT detected area in order to detect and track the logo in subsequent frames in a time efficient manner. The results obtained indicate that this hybrid approach allows robust logo detection and tracking to be achieved in real-time.
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页数：9
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