Abstract:
Intelligent vision systems (IVS) represent an exciting part of modern sensing, computing, and engineering systems. The principal information source in IVS is the image, a two dimensional representation of a three dimensional scene. The main advantage of using IVS systems is that the information is in a form that can be interpreted by humans.
Our paper is an image process application for abnormal incident detection, which can be used in high security installation, subways, etc. In our work, motion cues are used to classify dynamic scenes and subsequently allow the detection of abnormal movements, which may be related critical situations.
Successive frames are extracted from the video stream and compared. By subtracting the second image from the first, that difference image is obtained. This is the segmented to aid error measurement and thresholding. If is the threshold is exceeded, the human operator is alerted. So, that he / she may take remedial action Thus by processing the input image suitably, our system alerts operators to any abnormal incidents, which might lead to crtitical situations.
Document Consists:
- Need for automated Surveillance
- Motion analysis for incident detection
- Image acquisition
- Camera position
- Frame extraction
- THE DIFFERENCE IMAGE
- Segmentation details
- Complete and partial segmentation:
- Region merging and splitting
- Segmentation algorithm
- THRESHOLDING AND ABNORMAL INCIDENT DETECTION
- Advantages
Document Submitted by:
Name: M.Sandeep Name: K.Raghunath
Year: 3/4CSE Year: 3/4CSE
RAJEEV GANDHI MEMORIAL COLLEGE OF ENGINEERING AND TECHNOLOGY, NANDYAL
SAY THANKS TO SANDEEP & RAGHUNATH
