We present the results of using Hidden Markov Models (HMMs) for automatic segmentation and recognition of user motions. Previous work on recognition of user intent with man/machin...
C. Sean Hundtofte, Gregory D. Hager, Allison M. Ok...
In this paper, we propose a robust approach for recognition of text embedded in natural scenes. Instead of using binary information as most other OCR systems do, we extract featur...
Jing Zhang, Xilin Chen, Andreas Hanneman, Jie Yang...
Abstract. We describe a flexible object recognition and modelling system (FORMS) which represents and recognizes animate objects from their silhouettes. This consists of a model fo...
We seek to recognize the place depicted in a query image using a database of “street side” images annotated with geolocation information. This is a challenging task due to chan...
Abstract. This paper proposes a case-based automatic facial AU recognition approach using IGA, which embeds human’s ability to compare into target system. To obtain AU codes of a...