Distributed target classification and tracking in sensor networks
By R. Brooks, P. Ramanathan, Akbar M. Sayeed. Proceedings of the IEEE, 2003
511 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/38e655f52e986b3ae19abe2e59729dcab0a70ca2
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Michael G. Rabbat
- Soummya Kar
- Anna Scaglione
- Yi Zou
- José M. F. Moura
- Krishnendu Chakrabarty
- Pinaki Roy Chowdhury
- Sukhendu Das
In Computer Networks and Communications
- Michael G. Rabbat
- Ali H. Sayed
- Soummya Kar
- José M. F. Moura
- Anna Scaglione
- Ian F. Akyildiz
- Angelia Nedić
- Yi Zou
Citations in the corpus
- Gossip Algorithms for Distributed Signal Processing (2010, background): “Early research in this area considered applications such as detection, classification, tracking, and pursuit [2]–[5].”
- A survey on jamming attacks and countermeasures in WSNs (2009, background): “ Object tracking: moving objects or persons can be tracked with the use of WSNs equipped with the appropriate sensors [ 15 ].”
- Survey on Contemporary Remote Surveillance Systems for Public Safety (2010, background): “They are usually battery powered with restricted computation and communication abilities [36].”
- A distributed coverage- and connectivity-centric technique for selecting active nodes in wireless sensor networks (2005, background): “It also assures network connectivity for routing and information dissemination.”
- Multirobot systems: a classification focused on coordination (2004, methodology): “Besides systems composed of mobile robots, sensor nets are often used to accomplish this kind of task [34], [15], [75].”
- Event-to-sink reliable transport in wireless sensor networks (2005, background): “1Although the handling of multiple concurrent events at the software and signal processing levels is currently an active research area [1], [4], it is beyond the scope of our paper.”
- A Survey of Decision Fusion and Feature Fusion Strategies for Pattern Classification (2010, background): “Areas of application have a wide-range remote sensing [18-21], medical image processing [22], target and object recogni-294 tion [23], face recognition [24-26], speech processing and video classification and retrieval [27], and gene detection in DNA sequences [28].”