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In the design of intelligent empty bottle inspection system, the effective means to improve the detection speed is processing only the region of interesting in the obtained image, however, the image has a certain shift because of mechanical vibration and so on. So improving the detection accuracy and speed is based on the premise that the Detection area is traced correctly. In this paper, a new tracking...
A main challenge for texture analysis is to construct a compact texture descriptor which is not only highly discriminative to intra-class textures, but also robust to inter-class variations, geometric and photometric changes. In this paper, a new texture descriptor is developed by integrating the local affine-invariant texture features and the global viewpoint-invariant statistics. Based on the pixel...
This paper proposes a new approach to detect the falling of the elderly based on intelligent space. The system can recognize the falling action by use of multi-sensor information in intelligent space. The detection system uses the image processing system to process images which captured from camera. After the silhouettes are obtained, we extract features that recognition falling needs. The surroundings...
In the paper, the multi-class pattern classification using extreme learning machine (ELM) is studied. The study is based on either a series of ELM binary classifiers or a single ELM classifier. When using binary ELM classifiers, the multi-class problem is decomposed into two-class problem using the one-against-all (OAA) and one-against-one (OAO) schemes, which are named as ELM-OAA and ELM-OAO respectively...
This paper proposes a new approach to detect the fall of the elderly. The detection system is composed of a PC server and distributed cameras. The distributed cameras are used to capture images of different place in a house, and the PC server is used for fall recognition. In the fall recognition process, we extracted a new feature using for distinguishing lying down normally and behavior of falling...
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