A Study on Real-time Face Detection in Video
نویسندگان
چکیده
منابع مشابه
Real-Time Face Detection
Motivation: Most object detection tasks in computer vision are computationally extensive because of a) the large amount of input data that has to be processed and b) the use of complex classifiers that are robust against pose and illumination changes. Speeding-up the classification is therefore of major concern when developing systems for real-world applications. We investigate two methods for ...
متن کاملReal Time Face Detection and Tracking on
It is possible to classify the face detection algorithms according to three categories. Very simple algorithms (based on averages of pixel) allowing the detection of face lling up most of the image, complex algorithms (PCA, neural networks) allowing to detect small and big faces and nally intermediate algorithms (often based on contours and skin color detection) allowing the localization of med...
متن کاملReal-Time Video Convolutional Face Finder on Embedded Platforms
A high-level optimization methodology is applied for implementing the well-known convolutional face finder (CFF) algorithm for real-time applications on mobile phones, such as teleconferencing, advanced user interfaces, image indexing, and security access control. CFF is based on a feature extraction and classification technique which consists of a pipeline of convolutions and subsampling opera...
متن کاملReal time human detection in video streams
Detecting humans in films and videos is a challenging problem owing to the motion of the subjects, the camera and the background and to variations in pose, appearance, clothing, illumination and background clutter. We develop a detector for standing and moving people in videos, testing several different motions coding schemes and showing empirically that orientated histograms give the best over...
متن کاملAuthentic Emotion Detection in Real-Time Video
There is a growing trend toward emotional intelligence in humancomputer interaction paradigms. In order to react appropriately to a human, the computer would need to have some perception of the emotional state of the human. We assert that the most informative channel for machine perception of emotions is through facial expressions in video. One current difficulty in evaluating automatic emotion...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of the Korea Society of Computer and Information
سال: 2010
ISSN: 1598-849X
DOI: 10.9708/jksci.2010.15.2.047