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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Naikal, N. Yang, A.Y. Sastry, S.S. |
| Copyright Year | 2010 |
| Description | Author affiliation: Dept. of EECS, Univ. of California, Berkeley, CA, USA (Naikal, N.; Yang, A.Y.; Sastry, S.S.) |
| Abstract | We propose an efficient distributed object recognition system for sensing, compression, and recognition of 3-D objects and landmarks using a network of wireless smart cameras. The foundation is based on a recent work that shows the representation of scale-invariant image features exhibit certain degree of sparsity: If a common object is observed by multiple cameras from different vantage points, the corresponding features can be efficiently compressed in a distributed fashion, and the joint signals can be simultaneously decoded based on distributed compressive sensing theory. In this paper, we first present a public multiple-view object recognition database, called the Berkeley Multiview Wireless (BMW) database. It captures the 3-D appearance of 20 landmark buildings sampled by five low-power, low-resolution camera sensors from multiple vantage points. Then we review and benchmark state-of-the-art methods to extract image features and compress their sparse representations. Finally, we propose a fast multiple-view recognition method to jointly classify the object observed by the cameras. To this end, a distributed object recognition system is implemented on the Berkeley CITRIC smart camera platform. The system is capable of adapting to different network configurations and the wireless bandwidth. The multiple-view classification improves the performance of object recognition upon the traditional per-view classification algorithms. |
| Sponsorship | ISIF |
| Starting Page | 1 |
| Ending Page | 8 |
| File Size | 1506546 |
| Page Count | 8 |
| File Format | |
| e-ISBN | 9780982443811 |
| DOI | 10.1109/ICIF.2010.5711893 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-07-26 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Cameras Feature extraction Databases Sensors Wireless sensor networks Object recognition Histograms smart camera networks Distributed object recognition compressive sensing |
| Content Type | Text |
| Resource Type | Article |
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