[PDF] Top 20 Title: Region-Based Saliency Detection and its Application in Object Recognition

... A technique in which the data from an image are digitized and various mathematical operations are applied to the data, generally with a digital computer, in order to create an enhanced image that is more useful or ... See full document

... without detection and separating the objects in scene ...and object attribute, which was a simple, rapid and accurate ...salient region detection to better solve the blurring problem of ... See full document

... is based on the idea of using the Scale-Saliency algorithm to pick a sparse number of ‘interesting’ or ‘salient’ ...salient region during the tracking process, using a single uncalibrated ...salient ... See full document

... location based features point of view, the mentioned dataset is cluster by three ...first region is the background in which there is no motion ...this region. This abnormal behavior cannot be ... See full document

... that object detectors perform just a bit higher than chance baseline, that can be explained by difference in region-based and fixation-based ...why object detectors are used in an eye ... See full document

... visual saliency maps within each ...each region node, which are then used to compute the similarity between a ...similarity based on the normalized SimRank ...semantic object discovery and ... See full document

... Previous work such as [8] and [9] focused on an interactive scheme and required users to manually provide the ground truth label information. Although excellent results were produced, methods which do not require user ... See full document

... variable application environments which concern different issues, such as the smart grid, water supply, and gas ...monitoring. Object detection automatic in remote sensing images has always been a ... See full document

... (SR) based salient object detection methods have been presented in the past few ...the saliency by measuring the reconstruction errors, leading to the failure in the complex ...salient ... See full document

... of object/event detection, so abnormal event detection has gained marvelous research ...event detection is a challenging ...event detection in video using saliency value and ... See full document

... of saliency detection is to extract the salient objects in an image, assuming that there is one or several salient ones within ...Salient object means visually attracted regions in images. The ... See full document

... for application to prosthetic vision ...as object placement and ...of saliency that captures a more stable and descriptive measure of struc- tural ...measures saliency based on the ... See full document

... retargeting, object recognition, image retrieval ...content- based image retrieval (CBIR) methods, for example, minkowski, spearman, relative deviation ...detect saliency, in which each input ... See full document

... All Object Recognition has two parts- Category Recognition and its detection [4] ....Category Detection deals with distinguishing the object from the ...Category ... See full document

... Remote sensing pictures comprise high amounts of information. The biological models will simulate the HVS well; however they usually lead to prohibitory machine complexness and not take into account the characteristics ... See full document

... new detection algorithms are proposed for video-based port transport channel foreign object detec- tion system, and an image enhancement method is pro- ...Finally, based on the global ... See full document

... Lightweight binary descriptors such as BRISK, FREAK, BRIEF and its variant rBRIEF (or ORB descriptor), become increasingly popular as they are very efficient to store and to match. Raw intensities of a subset of ... See full document

... The training set consists the cropped images of faces of the candidate and also non-faces objects with a common resolution which is generally 24 x 24 pixels, thus training set have positive and negative examples. Here ... See full document

... artificial markers that should be diminished in the user’s perspective too. Mori et al. calculated a camera pose by solving a perspective-n-point problem using 3D–2D cor- respondences of the features between the current ... See full document

... AN object huntsman. Porikli [13] demonstrates static object detection victimisation long-run and short backgrounds created victimisation totally different adaptation ... See full document