Particle filtering for people tracking and heat mapping in surveillance video | |
| Author | Alexandre, Jayet-Laraffee |
| Call Number | AIT Thesis no.CS-17-06 |
| Subject(s) | Surveillance detection Interactive videos Digital video |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Computer Science, School of Engineering and Technology |
| Publisher | Asian Institute of Technology |
| Series Statement | Thesis ; no. CS-17-06 |
| Abstract | Surveillance and security are two main notions in public debates all around the world. Dueto both terrorist attacks and crime, people want more surveillance but want it to be less intrusive. That is why video surveillance is currently a key technology. However, monitoring everyone is impossible, not only because of hardware costs, but also because of human resources. Automating video surveillance could be the best way toimprove the power and of surveillance. Particle filtering is one of the most powerful ways to track objects in video. I define and explore the possibility of adapting particle filtering to the video surveillance problem. However, Iwillgo further by tackletheissue of the use of the HistogramofOrientedGradients (HOG) as an appearance model for the particle filtering. This study deals with the huge possibilities of fered by the HOG but also with the problem created by this use,especially the computational resources needed. That why I will develop my own methodology to compute multiple HOG in the particle filtering context. This method is based on a pre-multiscale computation of the HOG. And finally all these methods will be combined not only for a monitoring purpose, but especially for an economic goal, which is the building of statistic about the customers. That is why the last step of this study will be the 3D computation of the location of the customers to create a heat map of the shop. |
| Year | 2017 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis : no. CS-17-06 |
| Type | Thesis |
| School | School of Engineering and Technology (SET) |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Computer Science (CS) |
| Chairperson(s) | Dailey, Matthew; |
| Examination Committee(s) | Guha, Sumanta;Mongkol Ekpanyapong; |
| Degree | Thesis (M. Eng.) - Asian Institute of Technology, 2017 |