Intelligent data analysis by a home-use human monitoring robot
IDA'12 Proceedings of the 11th international conference on Advances in Intelligent Data Analysis
Predicting the State of a Person by an Office-Use Autonomous Mobile Robot
WI-IAT '12 Proceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
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This paper aims to develop a fast algorithm for detecting a new object from video sequences captured by on-board robot vision. We first propose lifting complex wavelet, which is a new method for extracting local features in an image. The proposed lifting complex wavelet transforms can be detected the features faster than the conventional SIFT algorithm. Our new object detection is performed by using an overlap ratio between the local features of current- and past-frames. In experiments, we show that new objects can be detected fast from on-board robot vision.