Paper Info
Title
Design and Implementation of a Dual-Camera Wireless Sensor Network for Object Retrieval
Abstract
This paper presents the design and implementation of a dual-camera sensor network that can be used as a memory assistant tool for assisted living. Our system performs energy-efficient object detection and recognition of commonly misplaced objects. The novelty in our approach is the ability to tradeoff between recognition accuracy and computational efficiency by employing a combination of low complexity but less precise color histogram-based image recognition together with more complex image recognition using SIFT descriptors. In addition, our system can seamlessly integrate feedback from the user to improve the robustness of object recognition. Experimental results reveal that our system is computation-efficient and adaptive to slow changes of environmental conditions
Year
DOI
Venue
2008
10.1109/IPSN.2008.57
IPSN
Keywords
Field
DocType
object recognition,complex image recognition,dual-camera wireless sensor network,energy-efficient object detection,recognition accuracy,object retrieval,histogram-based image recognition,computational efficiency,sift descriptors,dual-camera sensor network,environmental condition,energy efficient,wireless sensor network,energy efficiency,image sensors,color histogram,image recognition,wireless sensor networks,robustness,system performance,sensor network
Computer vision,Object detection,Scale-invariant feature transform,3D single-object recognition,Image sensor,Color histogram,Computer science,Robustness (computer science),Artificial intelligence,Wireless sensor network,Cognitive neuroscience of visual object recognition
Conference
Citations 
PageRank 
References 
19
0.78
22
Authors
4
Name
Order
Citations
PageRank
Dan Xie1190.78
Tingxin Yan240822.36
Deepak Ganesan33914376.82
Allen Hanson421133.75