Abstract book (pdf) - ICPR 2010

method of selecting good basis functions is proposed, which aims to realize appropriate calibration in practice. Experimental
results for synthetic data and real images are presented to emonstrate the performance of our calibration method.
13:30-16:30, Paper TuBCT8.44
A Global Spatio-Temporal Representation for Action Recognition
Deng, Chao, Tianjin Univ.
Cao, Xiaochun, Tianjin Univ.
Liu, Hanyu, Univ. of Southern Mississippi
Chen, Jian, Univ. of Southern Mississippi
In this paper we introduce an effective method to construct a global spatio-temporal representation for action recognition.
This representation is inspired by the fact that human actions can be treated as 3D shapes induced by the silhouettes in the
space-time volume. We estimate the silhouettes which contain detailed shape information of the action, and present an
efficient sampling method to extract interest points along the silhouettes. The local interest point is represented by a spatiotemporal
descriptor based on 2D DAISY. Our global space-time representation is the integration of these local descriptors
in an order along the silhouette. In this manner, we not only utilize the static shape information, but also the spatial-temporal
cue. We have obtained impressive results on publicly available action datasets.
13:30-16:30, Paper TuBCT8.45
Super-Resolution Texture Mapping from Multiple View Images
Iiyama, Masaaki, Kyoto Univ.
Kakusho, Koh, Kwansei Gakuin Univ.
Minoh, Michihiko, Kyoto Univ.
This paper presents an artifact-free super resolution texture mapping from multiple-view images. The multiple-view images
are upscaled with a learning-based super resolution technique and are mapped onto a 3D mesh model. However, mapping
multiple-view images onto a 3D model is not an easy task, because artifacts may appear when different upscaled images are
mapped onto neighboring meshes. We define a cost function that becomes large when artifacts appear on neighboring meshes,
and our method seeks the image-and mesh assignment that minimizes the cost function. Experimental results with real images
demonstrate the effectiveness of our method.
13:30-16:30, Paper TuBCT8.46
Automatic Weak Calibration of Master-Slave Surveillance System based on Mosaic Image
Li, You, Shanghai Jiao Tong University
Song, Li, Shanghai Jiao Tong University
Wang, Jia, Shanghai Jiao Tong University
A master-slave camera surveillance system is composed of one(or more) wide FOV(field of view) static camera and one(or
more) dynamic PTZ(Pan-Tilt-Zoom) camera. In such a system, master camera monitors a wide field and provides positional
information of interesting objects to slave camera so that it can dynamically track them. This paper describes a novel method
for the calibration of master-slave surveillance. The method uses a mosaic image created by snapshots of slave camera to estimate
the relationship between static master camera plane and pan-tilt controls of slave camera. Compared with other ways,
this solution provides an efficient and automatic way to calibration of a master-slave system.
13:30-16:30, Paper TuBCT8.47
Reconstruction-Free Parallel Planes Identification from Uncalibrated Images
Habed, Adlane, Univ. deBourgogne
Amintabar, Amirhasan, Univ. of Windsor
Boufama, Boubakeur, Univ. of Windsor
This paper proposes a new method for identifying parallel planes in a scene from three or more uncalibrated images. By
using the fact that parallel planes intersect at infinity, we were able to devise a linear relationship between the inter-image
homographies of the parallel planes and the plane at infinity. This relationship is combined with the so-called modulus constraint
for identifying pairs of parallel planes solely from point correspondences. Experiments with both synthetic and real
images have validated our method.
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