Stolen object detection from fixed video surveillance cameras | |
| Author | Myo Thu Soe |
| Call Number | AIT RSPR no.IM-15-05 |
| Subject(s) | Image processing--Digital techniques Video surveillance--Data processing |
| Note | A research study submitted in partial fulfillment of the requirements for the degree of Master of Science in Information Management, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Research studies project report ; no. IM-15-05 |
| Abstract | This research study develops a stolen object detection system that is based on motion detection with improved Camshift tracking algorithm. The algorithm takes the first frame of the video as a background model and calculates difference with the current frame. All the motionregionsintheframearetrackedastheyaresubtractedfromthebackground,butonly objects in first frame are classified as stolen objects or not. The system was tested on object stealing scenarios captured in indoor and outdoor environments and found to be robust against occlusion but some harsh lighting changes and shadow conditions may impair the detection of the system. |
| Year | 2015 |
| Corresponding Series Added Entry | Asian Institute of Technology. Research studies project report ; no. IM-15-05 |
| Type | Research Study Project Report (RSPR) |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Information Management (IM) |
| Chairperson(s) | Dailey, Matthew N.; |
| Examination Committee(s) | Mongkol Ekpanyapong;Guha, Sumanta ; |
| Scholarship Donor(s) | Asian Institute of Technology Fellowship; |
| Degree | Research studies project report (M. Sc.) - Asian Institute of Technology, 2015 |