Abstract book (pdf) - ICPR 2010

16:00-16:20, Paper ThCT5.2
Panoramic Video Generation by Multi View Data Synthesis
D’Orazio, Tiziana, Italian National Res. Council
Leo, Marco, Italian National Res. Council
Mosca, Nicola, Italian National Res. Council
This paper presents a mosaic based approach for enlarged view soccer video production that can be provided to the audience
as a complementary view for greater enjoyment of relevant events, such as offside, counter attack or goal, that spread out
all over the playing feld. Firstly, an enlarged view of the whole field is produced by fusing the images of six cameras
placed on the two sides of the field. Then a color transformation is applied to have uniform colors on the parts of the
playing field acquired from different cameras. Finally, the players are segmented by each camera and projected onto the
enlarged view to produce videos of the most interesting events.
16:20-16:40, Paper ThCT5.3
An Adaptive True Motion Estimation Algorithm for Frame Rate Conversion of High Definition Video
Cetin, Mert, Sabanci Univ.
Hamzaoglu, Ilker, Sabanci Univ.
Frame Rate Up-Conversion (FRUC) is necessary for displaying low frame rate video signals on high frame rate flat panel
displays. This paper proposes an adaptive true Motion Estimation (ME) algorithm for FRUC of High Definition video
formats. The proposed ME algorithm produces similar quality results with less number of calculations or better quality
results with similar number of calculations compared to 3D Recursive Search true ME algorithm by adaptively using optimized
sets of candidate search locations and several computational complexity reduction techniques.
16:40-17:00, Paper ThCT5.4
Human Daily Activities Indexing in Videos from Wearable Cameras for Monitoring of Patients with Dementia Diseases
Karaman, Svebor, Lab.
Benois-Pineau, Jenny, Lab.
Megret, Remi, Univ. of Bordeaux
Dovgalecs, Vladislavs, IMS
Gaëstel, Yann, INSERM U.897
Dartigues, Jean-Francois, INSERM U.897
Our research focuses on analysing human activities according to a known behaviorist scenario, in case of noisy and high
dimensional collected data. The data come from the monitoring of patients with dementia diseases by wearable cameras.
We define a structural model of video recordings based on a Hidden Markov Model. New spatio-temporal features, color
features and localization features are proposed as observations. First results in recognition of activities are promising.
17:00-17:20, Paper ThCT5.5
Automatic Composition of an Informative Wide-View Image from Video
Habe, Hitoshi, NAIST
Makiyama, Shota, NAIST
Kidode, Masatsugu, NAIST
We describe a method for generating an informative wide-view image using images captured by a moving camera. The
generated image allows for events in the scene observed by the camera to be understood easily. Our method does not use
3D shape information explicitly. Instead, it employs the trajectory of feature points across multiple images and generates
a composite image by taking into account the distribution of the trajectories of the feature points.
ThCT6 Topkapı Hall B
Facial Expression Regular Session
Session chair: Akarun, Lale (Bogazici Univ.)
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