摘要 :
The conventional approach to the recognition of handwritten touching numeral pairs uses a process with two steps; splitting the touching numerals and recognizing individual numerals. It shows a limitation mainly due to a large var...
展开
The conventional approach to the recognition of handwritten touching numeral pairs uses a process with two steps; splitting the touching numerals and recognizing individual numerals. It shows a limitation mainly due to a large variation in touching styles between two numerals. In this paper, we adopt the segmentation-free approach, which regards a touching numeral pair as an atomic pattern.
收起
摘要 :
For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on ch...
展开
For the applications like video conferencing, real-time tracking of human faces is an essential task. In this paper, we propose a fast algorithm for tracking human face regions in color motion images. This algorithm is based on chromatic histogram and histogram backprojection operation. Our experimental results show that the proposed algorithm can be used in real-time applications. Additionally it has the advantage of being insensitive to small variations of face regions.
收起