Generic object detection and tracking is an integral requirement of navigation and collision avoidance for autonomous mobile platforms. Robustly calculating the scene flow of complex urban traffic environments remains a difficult research problem, and the contextual information generated from this process can be valuable to other downstream decision-making processes. This paper presents the imp...

The present study investigated the effects of cognitive complexity of pedagogical tasks on the learners’ uptake of salient features in the input. For the purpose of data collection, three versions of a decision-making task (simple, mid, and complex) were employed. Three intact classes (each 20 language learners) were randomly assigned to three groups.  Each group transacted a version of a decis...

Although it is well known that people selectively attend to salient features in similarity judgment, no clear method of identifying “salient features” has been proposed. In this study, we present a new computational technique to identify salient features. First, we collected behavioral data from human participants, and this data was simulated with machine learning techniques, which determined o...

Pigeons were trained using a symbolic delayed matching-to-sample procedure involving bright versus dim houselight samples. We hypothesized that when sample stimuli differ in salience, increasing the size of the retention interval will affect performance on trials initiated by the more salient sample only. In agreement with this prediction, accuracy following the dim sample did not decline as th...

All illusory surface figures yield a perception of a surface occluding another one or the background. Occluded surfaces yield completion, a phenomena known as amodal completions. It is intriguing that for some images illusory surfaces are perceived, but not for other images (see figure 1). Also, illusory surfaces may have portions occluded. We aim to understand these phenomena. Our approach det...

Detection of salient image regions is useful for applications like image segmentation, adaptive compression, and region-based image retrieval. In this paper we present a novel method to determine salient regions in images using low-level features of luminance and color. The method is fast, easy to implement and generates high quality saliency maps of the same size and resolution as the input im...

Automatic estimation of salient object regions across images, without any prior assumption or knowledge of the contents of the corresponding scenes, enhances many computer vision and computer graphics applications. We introduce a regional contrast based salient object extraction algorithm, which simultaneously evaluates global contrast differences and spatial weighted coherence scores. The prop...