Vision system plays an important role in the field of indoor robot. Saliency detection methods, capturing regions that are perceived as important, are used to improve the performance of visual perception system. Most of state-of-the-art methods for saliency detection, performing outstandingly in natural images, cannot work in complicated indoor environment. Therefore, we propose a new method co...

By the guidance of attention, human visual system is able to locate objects of interest in complex scene. In this paper, we propose a novel visual saliency detection method the conditional saliency for both image and video. Inspired by biological vision, the definition of visual saliency follows a strictly local approach. Given the surrounding area, the saliency is defined as the minimum uncert...

In computer vision saliency detection comprises wide range of methods to detect salient object present in the image. These methods focus how important object can be detect from the image. Results of these methods are fully dependent upon the type and quality of input image. In this paper saliency detection methods, Fixation prediction models, saliency map generated through various saliency dete...

References [1] Vikram T.N, Tscherepanow M. and Wrede B. A Visual Saliency Map based on Random Sub-Window Means. In proceedings of Iberian Conference on Pattern Recognition and Image Analysis, pp. 33-40 (2011). [2] Vikram T.N, Tscherepanow M. and Wrede B. A Random Center Surround Bottom up Visual Attention Model useful for Salient Region Detection. In IEEE Workshop on Applications of Computer Vi...

Image segmentation process for high quality visual saliency map is very dependent on the existing visual saliency metrics. It is mostly only get sketchy effect of saliency map, and roughly based visual saliency map will affect the image segmentation results. The paper had presented the randomized visual saliency detection algorithm. The randomized visual saliency detection method can quickly ge...

In this study, the authors investigated how salient visual features capture attention and facilitate detection of emotional facial expressions. In a visual search task, a target emotional face (happy, disgusted, fearful, angry, sad, or surprised) was presented in an array of neutral faces. Faster detection of happy and, to a lesser extent, surprised and disgusted faces was found both under upri...

Saliency map detection, as a method for detecting important regions of an image, is used in many applications such as image classification and recognition. We propose that context detection could have an essential role in image saliency detection. This requires extraction of high level features. In this paper a saliency map is proposed, based on image context detection using semantic segmentati...

Salient object detection is a long-standing problem in computer vision and plays a critical role in understanding the mechanism of human visual attention. In applications that require object-level prior (e.g. image retargeting), it is desirable that saliency detection highlights holistic objects. Lately over-segmentation techniques such as SLIC superpixel [6], Meanshift [1], and graph-based [3]...