The ability of a listener to recognize sound sources, and in particular musical instruments from the sounds they produce, raises the question of determining the acoustical information used to achieve such a task. It is now well known that the shapes of the temporal and spectral envelopes are crucial to the recognition of a musical instrument. More recently, Modulation Power Spectra (MPS) have b...

Regions in the human Lateral Occipital Complex (LOC) show fMRI responses to illusory surfaces. We show that the LOC activation is due to the globally completed region and occurs even when the region is not bounded by illusory contours (ICs). Kanizsa-type stimuli were modified by rounding the corners of the "pacmen" inducers and misaligning them slightly. The impression of an enclosed, salient r...

Soybean is the main food crop and an important economical crop of the world. Proper disease control measures must be undertaken to minimize losses. Techniques of machine vision and image processing were applied mostly to plant protection in recent years. Disease detection and segmentation are very important, but the diseases of soybean are complex in real environment and traditional segmentatio...

Life-logging devices are becoming ubiquitous, yet still processing and extracting information from the vast amount of data that is being captured is a very challenging task. We propose a method to find discriminative regions which we define as regions that are salient, consistent, repetitive and discriminative. We explain our fast and novel algorithm to discover the discriminative regions and s...

We propose using the Normalized Cut method for motion tracking (J. Shi and J. Malik . “Motion Segmentation and Tracking Using Normalized Cuts”. In IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8), pages 888 905, 2000) on regions in frames that were identified by a Minimum Spanning Tree (MST) method in a pre-proccessing step. The purpose of the pre-proccessing step is to red...

Computational model for object-based visual attention is a hot research field. A computational model of object-based visual attention is proposed in this paper. This model mainly includes three key technologies which are perceptual objects extraction, attention value calculation of perceptual objects and focus of attention shift. Firstly spatial visual saliency of each pixel is calculated and a...

A novel, salient event in the environment powerfully captures attention. This stimulus-driven attentional capture not only includes orienting of attention toward the event, but also an evaluative process to determine the behavioral significance and appropriate response to the event. Whereas a network of human brain regions composed of prefrontal and temporoparietal regions have been associated ...

An ongoing challenge in scene perception is identifying the factors that influence how we explore our visual world. By using multiple versions of paintings as a tool to control for high-level influences, we show that variation in the visual details of a painting causes differences in observers' gaze despite constant task and content. Further, we show that by switching locations of highly salien...

Robust small target detection of low signal-to-noise ratio (SNR) is very important in infrared search and track applications.Due to the complex background, current algorithms have some unsolved issues about small target detection capabilities, such as detection rate, false alarm rate and speed. They generally improve one or two of the aforementioned detection capabilities while sacrificing the ...