Three-level cascade of random forests for rapid human detection
نویسندگان
چکیده
منابع مشابه
Fast Human Detection for Intelligent Monitoring Using Surveillance Visible Sensors
Human detection using visible surveillance sensors is an important and challenging work for intruder detection and safety management. The biggest barrier of real-time human detection is the computational time required for dense image scaling and scanning windows extracted from an entire image. This paper proposes fast human detection by selecting optimal levels of image scale using each level's...
متن کاملDetermining the Spatial Location of Lookout Towers in Rapid Forest Fire Detection Using Geographic Information System (GIS)
Degradation of forests by fire has several environmental and socio-economic impacts and causes a disruption in the balance of ecosystems. Thus, rapid identification of fire using fires detection towers is necessary to reduce destructive effects in forests. Therefore, the purpose of this study is the identification of best and optimal locations to install fire detection towers using Digital Elev...
متن کاملAutomatic Detection and Segmentation of Kidneys in 3D CT Images Using Random Forests
Kidney segmentation in 3D CT images allows extracting useful information for nephrologists. For practical use in clinical routine, such an algorithm should be fast, automatic and robust to contrast-agent enhancement and fields of view. By combining and refining state-of-the-art techniques (random forests and template deformation), we demonstrate the possibility of building an algorithm that mee...
متن کاملتشخیص همزمان سه باکتری سالمونلا تیفی، باسیلوس آنتراسیس و یرسینیا پستیس با راه اندازی مولتی پلکس پیسیآر
Background and Objectives: Salmonella typhi, Bacillus anthracis, and Yersinia pestis are potent human pathogenic bacteria that cause typhoid fever, anthrax, and plague,respectively. The classic microbiological methods for detection and identification of these agents are laborious and time consuming.Therefore, developing an accurate method for rapid detection of these potent human pathogens is i...
متن کاملMulti-Scale, Categorical Object Detection and Pose Estimation using Hough Forest in RGB-D Images
Autonomous Intelligent Systems Institute for Computer Science Master of Science Multi-Scale, Categorical Object Detection and Pose Estimation using Hough Forest in RGB-D Images by Ishrat Badami Classification and localization of objects enables a robot to plan and execute tasks in unstructured environments. Much work on the detection and pose estimation of objects in the robotics context focuse...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2017