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[PDF] Top 20 A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention

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A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention

A New Approach of Feature Combination for Object Detection in Saliency based Visual Attention

... Fig 4: Two of the total 32 test images and their three conspicuity maps extracted by basic visual attention model [7] As could be seen in the Fig.5, after combining three conspicuity map[r] ... See full document

6

Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement

Unsupervised image saliency detection with Gestalt-laws guided optimization and visual attention based refinement

... salient object is detected from pixels or regions, saliency detection techniques can be further categorized into two groups, ...pixel based and region ...for saliency detection, ... See full document

28

Research of Flame Detection on Visual Saliency Method

Research of Flame Detection on Visual Saliency Method

... adopts visual detection methods, while there is a large amount of data needs to be collected for video fire ...within visual domain range in huge video images is the key of ...forward visual ... See full document

8

A Survey on Saliency Detection

A Survey on Saliency Detection

... contrast based model in which multiscale image features such as colour, intensity and orientation information from images are combined into a single topographical saliency ...Gaussian based ... See full document

6

An Integrated Approach for Image Inpainting Based On Saliency Detection

An Integrated Approach for Image Inpainting Based On Saliency Detection

... In feature integration theory features are registered early, automatically, and in parallel, while objects are identified separately" and at a later stage in ...focused attention stage. In pre-attentive ... See full document

11

A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos

A deep-learning based feature hybrid framework for spatiotemporal saliency detection inside videos

... video Visual attention prediction, Quite different from that of the still image extended saliency model had been the bottom-up spatiotemporal methodology, which integrated the static and dynamic ... See full document

20

Visual saliency detection for RGB-D images under a Bayesian framework

Visual saliency detection for RGB-D images under a Bayesian framework

... depth saliency maps and traditional 2D saliency maps simply to obtain saliency maps for RGB-D images ...RGB-produced saliency with new depth-induced saliency: the former one is ... See full document

19

An Efficient face detection based on improved Viola & Jones

An Efficient face detection based on improved Viola & Jones

... of visual attention have been proposed by various ...human attention in a Bayesian framework, combining the bottom-up saliency model and the top-down contextual information of object ... See full document

7

Automatic Foreground object detection using Visual and Motion Saliency

Automatic Foreground object detection using Visual and Motion Saliency

... specific object detectors or classifiers in ...foreground object for VOE. For example, graph-based methods [13], [14] identify the foreground object regions by minimizing the cost between ... See full document

16

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm

Change detection in SAR images based on the salient map guidance and an accelerated genetic algorithm

... A new method based on salient map guidance and accelerate GA (S-aGA) is proposed for SAR-image change ...a saliency map containing the changed regions is extracted by using the saliency ... See full document

8

Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features

Enhanced and Efficient Image Retrieval via Visual Attention and Saliency Features

... its saliency than one with a high contrast with its farther ...the saliency map by incorporating spatial relationship with the highly contrast ...This approach is the bottom-up ... See full document

6

Modeling and Predicting Object Attention in Natural Scenes

Modeling and Predicting Object Attention in Natural Scenes

... change detection restricted to a small region around the current fixation ...overt attention and the ability to recall certain properties of an ...item. Attention-free feed-forward systems perform ... See full document

148

Image Retrieval with Saliency Object Weighted and Bag of Visual Pair

Image Retrieval with Saliency Object Weighted and Bag of Visual Pair

... To address this problem, this paper couples the color information into the BoF model as a complement to sift features, two different features are extracted to represent the same interest[r] ... See full document

7

The Feature Based a New Object Coding Approach for Prismatic Parts at the Part Modeling

The Feature Based a New Object Coding Approach for Prismatic Parts at the Part Modeling

... a feature based, object oriented process planning system called STEP-FM for prismatic ...selection, feature generation and addition, feature specification definition and feature ... See full document

10

Multi-scale contrast and relative motion-based key frame extraction

Multi-scale contrast and relative motion-based key frame extraction

... magnitude based on motion vectors of a frame are utilized for find- ing out the frames with high level of ...intensity feature employs the relative motion magnitude values of two neigh- boring frames for ... See full document

11

Title: Region-Based Saliency Detection and its Application in Object Recognition

Title: Region-Based Saliency Detection and its Application in Object Recognition

... For object recognition, the objects are usually more salient than the ...the object should play more important roles for the recognition of object in the ...pixels based on their color ... See full document

7

Perception-Driven Resizing for Dynamic Image Sequences

Perception-Driven Resizing for Dynamic Image Sequences

... invariant feature techniques have been developed to solve practical problems in the computer vision ...scale-invariant feature transform (SIFT) was de- veloped to effectively describe object features ... See full document

16

Recurrently exploiting co saliency of target for part based visual tracking

Recurrently exploiting co saliency of target for part based visual tracking

... Although exhaustive computation is implemented in sampling, the computational cost is still limited because it is only carried out in the target area. Since the NMS operation eliminates redundant rectangular bounding ... See full document

12

Object based target templates guide attention during visual search

Object based target templates guide attention during visual search

... that object-based target templates started to modulate attentional biases during the late phase of the ...single object-based template can be maintained at any given time, this template would ... See full document

45

Registration of infrared and visible light image based on visual saliency and scale invariant feature transform

Registration of infrared and visible light image based on visual saliency and scale invariant feature transform

... The detection of salient region center based on entropy priority strategy is ob- tained according to Formulas (8), (9), and ...SIFT feature extraction based on principal compo- nent analysis, ... See full document

12

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