Name
Abstract | ||
|---|---|---|
Object localization for indoor environments is still a challenge due to chaotic indoor environments. The most popular of techniques make use of Radio Frequency Identification (RFID) equipment or overhead cameras. We propose a novel method by combining these two popular methods, namely the RFID system and a single camera placed at an angle for increased range. The RFID system containing two RFID antennas estimates the approximate position of each object by identifying the range or area in which the object is found and then the camera recognizes the object by comparing its extracted features. The localization is achieved by the information obtained from the RFID sensors used. Experimental verification is performed to test the accuracy and robustness of this proposed method. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICACCI.2018.8554754 | 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI) |
Keywords | Field | DocType |
SIFT,SURF,ORB,OpenCV’ RFID,Multilateration,Octane SDK,Indoor Object Localization,Localization,Camera | Computer vision,Computer science,Feature extraction,Sensor fusion,Control engineering,Robustness (computer science),Artificial intelligence,Chaotic,Radio-frequency identification | Conference |
ISBN | Citations | PageRank |
978-1-5386-5315-9 | 0 | 0.34 |
References | Authors | |
12 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ritwik Murali | 1 | 0 | 0.68 |
| Dhivya Nachimuthu | 2 | 0 | 0.34 |
| Dhansri Varsha SenthilKumar | 3 | 0 | 0.34 |
| Malarvizhi Shanmuga Pandian | 4 | 0 | 0.34 |
| Dhareni Krishnen | 5 | 0 | 0.34 |