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ICIP
2009
IEEE

Parking Space Detection From Video By Augmenting Training Dataset

15 years 1 months ago
Parking Space Detection From Video By Augmenting Training Dataset
Auto parking techniques are attracting more attention these days. In this paper, we develop an image-based method to estimate the depth contour in parking areas. Our algorithm is an extension of the canonical appearance-based models for object recognition. One challenge in object recognition is that limited training dataset can hardly represent all kinds intra-class and inter-class variations. We propose to augment the limited training dataset by on-the-spot learning from test data. The information is obtained by applying a fast block based stereo algorithm to estimate a rough disparity map. New "soft" samples are created to augment the training sample library. We present improved classification performance by using the proposed technique.
Added 10 Nov 2009
Updated 26 Dec 2009
Type Conference
Year 2009
Where ICIP
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