Real Time Motion Object Tracking Using GPU
- 1. Author: Lubomir Riha and Hoda El-Sayed Resource: https://ieeexplore.Ieee.Org/document/6126628
- 2. WHAT IS MOTION DETECTION? Motion detection is an important computer vision problem that has been used in different applications including surveillance. Most of the applications require fast processing due to their real time nature. The GPU (graphic processing unit) is used as a cost-efficient tool that provides great opportunities for parallel processing.
- 3. HARDWARE IN REAL-TIME TRACKING • Memory : tracking system encountering limited memory problems • Frame rate : 30 fps • Processors : i. Allow saturated arithmetic operation ii. Powerful operation ability iii. Can do several memory accesses in a single instruction
- 4. METHODOLOGIES • Object detection and tracking • In a video sequence an object is said to be in motion, if it is changing its location with respect to its background • The motion tracking is actually the process of keeping tracks of that moving object in video sequence I.E. Position of moving object at certain time etc.
- 6. • Classification • Localization • Instance segmentation • Image analysis • Object detection
- 8. MORPHOLOGY BASED OBJECT TRACKING DIAGRAM
- 9. • Background estimation: Image differencing and thresholding • Object registration : i. Contours are registered ii. Width, height and histogram are recorded for each contour • Feature vector : each object represented by a feature vector • Combine with different features, color features and texture information • Use segmentation for tracking object Morphology based object tracking
- 10. APPLICATION Traffic information Surveillance Mobile robot
- 11. LIMITATIONS • Temporal variation/ dynamic environment • Abrupt object or camera motion • Multi-camera • Computational expensive
- 12. REFERENCES • https://ieeexplore.ieee.org/document/6126628 • https://www.computer.org/csdl/proceedings/aiccsa/2011/0475/00/06126628-abs.html • https://en.wikipedia.org/wiki/motion_(software)