TY - CHAP A1 - Yuman Nie A2 - Idaku Ishii A3 - Akane Tanaka A4 - Hiroshi Matsuda ED1 - Manuela Chessa ED2 - Fabio Solari ED3 - Silvio P. Sabatini Y1 - 2012-05-02 PY - 2012 T1 - Automatic Scratching Analyzing System for Laboratory Mice: SCLABA-Real N2 - Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the development of Machine Vision systems that overcome the typical industrial applications, where the environments are controlled and the tasks are very specific, towards the use of innovative solutions to face with everyday needs of people. The Human-Centric Machine Vision can help to solve the problems raised by the needs of our society, e.g. security and safety, health care, medical imaging, and human machine interface. In such applications it is necessary to handle changing, unpredictable and complex situations, and to take care of the presence of humans. BT - Human-Centric Machine Vision SP - Ch. 5 UR - https://doi.org/10.5772/25319 DO - 10.5772/25319 SN - PB - IntechOpen CY - Rijeka Y2 - 2021-09-17 ER -