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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Wei Tang Zhaoshun Wang |
| Copyright Year | 2008 |
| Description | Author affiliation: Sch. of Inf. Eng., Univ. of Sci. & Technol. Beijing, Beijing (Wei Tang; Zhaoshun Wang) |
| Abstract | To make the moving object detection faster and more reliable, in this paper we present a novel method based on fast approximated SIFT descriptor. The main idea is to compute the feature descriptor of a key-point using the integral histogram of the surrounding squared region. The feature descriptor could be further used in the feature matching between two sequential frames in the image sequence. When involved in calculating hundreds of feature descriptors, this method is profitable as it reduced computational cost, accelerated the computational speed while still maintained a fairly stable matching performance compared with the traditional SIFT descriptor. The experimental results showed that it was nearly three times faster than before and was able to meet more restrict real-time requirements. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 790909 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424423163 |
| DOI | 10.1109/CCPR.2008.47 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-10-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Histograms Computer vision Design automation Image analysis Object detection Reliability engineering Image sequences Computational efficiency Acceleration Principal component analysis |
| Content Type | Text |
| Resource Type | Article |
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