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Face Detection and Tracking using OpenCV
| Content Provider | Semantic Scholar |
|---|---|
| Author | Viraktamath S. V. Katti, Mukund Khatawkar, Aditya Kulkarni, Pavan S. |
| Copyright Year | 2016 |
| Abstract | —An application for automatic face detection and tracking on video streams from surveillance cameras in public or commercial places is discussed in this paper. In many situations it is useful to detect where the people are looking for, e.g. in exhibits, commercial malls, and public places in buildings. Prototype is designed to work with web cameras for the face detection and tracking system based on open source platforms Arduino and OpenCV. The system is based on AdaBoost algorithm and abstracts faces Haar-Like features. This system can be used for security purpose to record the visitor face as well as to detect and track the face. A program is developed using OpenCV that can detect people's face and also track from the web camera. |
| Starting Page | 1 |
| Ending Page | 6 |
| Page Count | 6 |
| File Format | PDF HTM / HTML |
| DOI | 10.9756/sijcnce/v4i3/0103540102 |
| Volume Number | 04 |
| Alternate Webpage(s) | http://thesij.com/papers/CNCE/2013/July-August/CNCE-0103540102.pdf |
| Alternate Webpage(s) | http://www.thesij.com/papers/CNCE/2013/July-August/CNCE-0103540102.pdf |
| Alternate Webpage(s) | https://doi.org/10.9756/sijcnce%2Fv4i3%2F0103540102 |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
