It was Jan 11 to Jan 12, the day for my paper proposals. I had got a really bad cough, but managed to get my ass to Hefei, Anhui. Thanks lucy, it was she who accompanied me to the train station, 6 am, early before dawn. Maybe it was all because of that, I got my proposal passed, XDXD.
My proposal was about something I’d done in my previous company, which is OpenCV related. Revisions after revisions, I narrowed the topic to face detect (and related) algorithms only by my tutor’s suggestion.
Here is the final abstract for my proposal:
Face is a collection of models containing rich informations, is one of the main signs of human mutually recognizable and identifiable. And it also is one of most interest targets for images and videos. Comparing with other biometric, like fingerprint, iris, voice, etc., face is more direct, and more friendly in recognition and identity. Face detection has a wide range of applications in identification, access control, video conferencing, file management, electronic album, object-based image and video retrieval. And it is a hot research topic in the fields of pattern recognition and artificial intelligence..
According to the research status, and the problems in current usage of face detection technologies,
first, this paper introduces the principle of face detection technology, and ways and means to implement face detection.
Second, we’ll reveal the main features face detection analysis implementation process, and how to reduce the computational complexity and improve detection accuracy by simply using OpenCV algorithms.
And the third one, how to extend out another application, human traffic statistics, by simply combining motion tracking technology with face detection.
Finally, we’ll present an example application of face detection in banking systems to prove how a robust, scalable face detection can be help to improve the banking security and banking operations, rather than its usual applications in Digital Camera, Digital Video, or face recognition.
Keywords: intelligent surveillance, face detection, human traffic statistics
And here is some photo I shot in USTC.