Object Detection Methods Based on the Visual Attention Model
Date Issued
2008
Date
2008
Author(s)
Kuo, Tzu-Ling
Abstract
Human visual attention system is a popular topic in recent years. The human visual attention system addresses the situation of computational implementation of intentional attention in the human vision. The human visual attention system is widely applied in the design of robot or automatic intelligence. In many researches, implementations about object segmentations, object recognitions, and object detections are proposed more and more frequently.In this thesis, we mainly display two methods and implementations to simulate the human visual attention model. The output is denoted as saliency. Saliency means the place where human eyes emphasis on the most when first looking at an image. We displayed the algorithms that are widely used as the basic of the build of attention model for images. Moreover, another brand new concept of the salient model representation for videos is displayed here. Detecting moving objects in videos is an issue that people has discussed with high frequency in recent years. An algorithm for the real-time implement is now a developing and popular issue. Also, it presents a concept about the real-time moving object detection in time domain and another similar concept applied in DCT data domain in videos.
Subjects
visual attention
saliency point
saliency map
objection detection
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-97-R95942088-1.pdf
Size
23.32 KB
Format
Adobe PDF
Checksum
(MD5):c74f44629f57aef7fda69ff09e1cdda0