Title | ||
---|---|---|
An Object Recognition System For A Smart Home Environment On The Basis Of Color And Texture Descriptors |
Abstract | ||
---|---|---|
A prototype smart home environment for service robots has been constructed in the research building of Korea Institute of Industrial Technology (KITECH) to demonstrate the feasibility of a robot-assisted future home environment. An inexpensive service robot outfitted with a camera, a Radio Frequency Identification (RFID) reader, and a communication module is installed in the building as a future service robot system which is cheap but robust. In our robotic systems the RFID reader gets the rough location data and object information, and then the robot performs the object recognition scheme to get the exact position of the object in order to grasp it. Due to its concise and unambiguous description of the complex media contents, we adopted MPEG-7 visual descriptors for our object recognition system. In this paper, we propose a fast object recognition system for our smart home environment project, on the basis of MPEG-7 visual descriptors including color and texture. Experimental results show that our proposed system works well with good performance in terms of speed and recognition rate. This object recognition system will be incorporated into our mobile robotics platform and a shape descriptor is to be included in the next version of our object recognition system. |
Year | DOI | Venue |
---|---|---|
2007 | 10.1109/IROS.2007.4399370 | 2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9 |
Keywords | Field | DocType |
mobile robot,radio frequency identification,smart home,object recognition,home automation | Computer vision,3D single-object recognition,GRASP,Computer science,Home automation,Artificial intelligence,Robot,Radio-frequency identification,Robotics,Service robot,Cognitive neuroscience of visual object recognition | Conference |
Citations | PageRank | References |
2 | 0.43 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Seung-Ho Baeg | 1 | 20 | 5.98 |
Jae-Han Park | 2 | 31 | 8.60 |
Jaehan Koh | 3 | 56 | 5.11 |
Kyungwook Park | 4 | 30 | 4.59 |
Moonhong Baeg | 5 | 40 | 7.51 |