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In this paper, we present a novel approach to counting number of people that pass the view of an overhead mounted camera. Moving people are first detected as blobs and represented by binary masks, based on which possible multi-person blobs are further segmented into isolated persons according to their areas and locations. Each single person is tracked through consecutive frames using a correlation-based...
This paper presented a new unsupervised learning method to find a set of templates specific to the objects. Kernel PCA, as an unsupervised learning method, is a nonlinear extension of PCA for finding projections that give useful nonlinear descriptors of the data, which gave the system improved performance with continued use by adjusting the clusters, and by creating a new cluster whenever an unusual...
Effective self-organization schemes lead to the creation of autonomous and reliable robot teams that can outperform a single, sophisticated robot on several tasks. We present here a novel, vision-based microscopic framework for active and distributed object-recognition and pose-estimation using a team of robots of simple construction. The team performs the task of locating a given object(s) in an...
This paper proposes a method to localize a 3D object in cluttered environment. Model of the object is represented by local shape features, computed from some reference images. Localization is performed by stereo images captured simultaneously by a pair of calibrated cameras. First the object is recognized in both images, using the local shape features. Then common features are used for reconstruction...
We propose a method of text-prompted speaker recognition based on multimodal biometrics by using the kernel Fisher discriminant analysis. Algorithms for person authentication using multimodal biometrics have already been developed. When the decision boundary between genuine and imposter has a nonlinear structure, the identification accuracy will be degraded because the conventional recognition methods...
In the near future, it is expected for us to communicate with robots and computer agents in a natural way. In daily life, we usually speculate about partner's intentions from diverse nonverbal information expressed unconsciously. We thus need to investigate the method of speculating partner's intentions by using nonverbal information and to implement it with a robot or agent to realize the smooth...
Fuzzy co-clustering is an unsupervised technique that performs simultaneous fuzzy clustering of objects and features. In this paper, we propose a new flexible fuzzy co-clustering algorithm which incorporates feature-cluster weighting in the formulation. We call it Flexible Fuzzy Co-clustering with Feature-cluster Weighting (FFCFW). By flexible we mean the algorithm allows the number of object clusters...
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