Human behavior profiling for a video surveillance system | |
| Author | Kan Ouivirach |
| Call Number | AIT Thesis no.CS-08-01 |
| Subject(s) | Fetal monitoring Human behavior--Mathematical models Electronic surveillance |
| 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-08-01 |
| Abstract | Due to increasing crime, video surveillance systems are being deployed in more and more places. Video surveillance systems are needed to help security personnel prevent and respond to criminal activity in time. However, most systems have many limitations. Manual review of all video footage is too time-intesive and error-prove. Motion detection helps reduce the amount of data need in manual review, but it is useless in complex scenarios in which there is always motion. Therefore, in this thesis, I explore a general-purpose approach to human behavior profiling and anomaly detection using Hidden Markov Models (HMMs). I extract features from a moving object for describing human behavior. Then I compare the use of discrete-density HMMs using vector quantization via the k-means algorithm and continuous-density HMMs using single Gaussian distributions to evaluate which model is best for anomaly detection. From my experiments, the results demonstrate that both models correctly recognize predifined normal human behaviors and identify anomalous behavior in a scene; however, discrete models preform better than continuous models for predefined normal behavior. Unfortunately, discrete-density HMMs with vector quantization are difficult to evaluate in online learning. Further research is required on using continuous-density HMMs A.S r1isrriminA.t.ive models in online learninll scenarios. |
| Year | 2008 |
| Corresponding Series Added Entry | Asian Institute of Technology. Thesis ; no. CS-08-01 |
| 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) | Afzulpurkar, Nitin V.;Haddawy, Peter; |
| Scholarship Donor(s) | Royal Thai Government; |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2008 |