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ICPR
2006
IEEE
16 years 7 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
ICPR
2006
IEEE
16 years 7 months ago
Object Tracking Using Globally Coordinated Nonlinear Manifolds
We present a dynamic inference algorithm in a globally parameterized nonlinear manifold and demonstrate it on the problem of visual tracking. An appearance manifold is usually non...
Che-Bin Liu, Ming-Hsuan Yang, Narendra Ahuja, Ruei...
MMM
2009
Springer
123views Multimedia» more  MMM 2009»
16 years 3 months ago
A Multimodal Constellation Model for Object Category Recognition
Object category recognition in various appearances is one of the most challenging task in the object recognition research fields. The major approach to solve the task is using the...
Yasunori Kamiya, Tomokazu Takahashi, Ichiro Ide, H...
SUTC
2006
IEEE
16 years 12 days ago
DTTC: Delay-Tolerant Trajectory Compression for Object Tracking Sensor Networks
Taking advantage of the delay tolerance for objects tracking sensor networks, we propose delay-tolerant trajectory compression (DTTC) technique, an efficient and accurate algorit...
Yingqi Xu, Wang-Chien Lee
ICMCS
2005
IEEE
81views Multimedia» more  ICMCS 2005»
15 years 12 months ago
Multiple Objective Frame Rate Up Conversion
In this paper, we propose a multiple objective frame rate up conversion algorithm (MOFRUC), which utilizes two different models. The first model is a constant velocity model that ...
Tak-Song Chong, Oscar C. Au, Wing-San Chau, Tai-Wa...