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In this paper, we present an biologically-motivated object recognition system for robots and vision tasks in general. Our approach is based on a hierarchical model of the visual cortex for feature extraction and rapid scene categorization. We modify this static model to be usable in time-crucial real-world scenarios by applying methods for optimization from signal detection theory, information theory,...
This project examines the Sustainability and Systemic Risk Index (SSRI) as a new macroeconomic index for the United States banking industry. The SSRI measures the aggregate level of risk across all federally insured banks and indicates the industry's sensitivity to systemic events. Since the 2008 recession, the government and the public have searched for ways to analyze elevated levels of risk to...
Biologically inspired C2 feature has been introduced to visual tracking problem in the previous work. Because of the scale invariance and the complex shape selectivity of C2 feature, the tracking model can obtain good performance even in some challenging videos. However, the C2 feature lacks of the relative position relationship among the patches. It may cause tracking drift when dealing with approximately...
Blindness is the most serious ailment that people suffer. The main motive to build Bionic eye is to copy human eye neural circuit, it aims at restoring the lookout vision to people living with blindness and low vision‥
The objective approaches of 3D image quality assessment play a key role in the development of compression standards and various 3D multimedia applications. The quality assessment of 3D images faces many new challenges, e.g. asymmetric stereo compression, depth perception, and virtual view synthesis, as compared with its 2D counterparts. Moreover, the widely used 2D image quality metric (e.g. PSNR)...
The receptive field of neurons plays various roles in biological neural networks. In this paper a spiking neural network model is proposed using a mechanism inspired by the biological receptive field. The network is composed of multiple layers, and the neurons are connected by excitatory and inhibitory synapses. When a visual image presents to the network, location and radius of a circle on the visual...
Attention computational model is widely used in the embedded intelligent vision system to help it offload the processing effort. In this paper, we proposed a visual attention computational model based on the biological mechanism that the dorsal pathway will guide the ventral visual information process. The model involves two feature processing subsystems, one is the dorsal pathway feature processing...
Optimizing problems are problems of finding the best feasible solution in a set of solutions. Multi Battalion Search Algorithm (MBSA) is a heuristic algorithm used to solve optimization problems by simulating battlefield strategies and tactics to find optimal or near optimal solutions. The strategy of search in MBSA consists of dividing search space into several battalions or cells. The algorithm...
When faced with a complicated visual scene many animals including humans attend to important regions in a systematic serial manner. The ability to orient rapidly towards an important region in a scene allows an organism to accomplish activities, such as navigation, foraging and detecting possible prey/mates. Developing a computational model of visual attention has long been of interest as such models...
While single-view human action recognition has attracted considerable research study in the last three decades, multi-view action recognition is, still, a less exploited field. This paper provides a comprehensive survey of multi-view human action recognition approaches. The approaches are reviewed following an application-based categorization: methods are categorized based on their ability to operate...
Studies on the Human Visual System (HVS) have demonstrated that human eyes are more attentive to spatial or spectral components with irregularities on the scene. This fact was modeled differently in many computational methods such as saliency residual (SR) approach, which tries to find the irregularity of frequency components by subtracting average filtered and original amplitude spectra. However,...
Assigning workers to machines dynamically, so as to achieve production objectives, is known as a difficult problem which must be addressed in several manufacturing systems. In fact, production managers must determine when and where to assign workers, which is a very difficult task because of the complexity induced by the dynamic changes and the stochastic behavior of these systems. The current scientific...
The success of requirements engineering depends critically on effective communication between business analysts and end users, yet empirical studies show that business stakeholders understand RE notations very poorly. This paper proposes a novel approach to designing RE visual notations that actively involves naïve users in the process. We use i∗, one of the most influential RE notations, to demonstrate...
Vessel Monitoring Systems (VMSs) are mainly meant to monitor and control fishing activity in ocean areas. VMSs have been realized and used in many ways, their principal aim being the monitoring, controlling and surveillance of fishing activity. The term VMS may refer to electronic or software systems aiming at those scopes. VMSs often rely on information transmitted by vessels during navigation, which...
Predicting where humans look in a scene is crucial in tasks like human-computer interaction, design, graphics, image and video compression, and gaze animation. This work proposes the use of a mixed-integer constraint Genetic Algorithm (GA) for searching the optimal parameters of a bio-inspired visual saliency model for accurate prediction of human eye fixations. Bio-inspired visual saliency models...
Human localization is an enabling technology for many mobile applications. As more and more people carry mobile phones with them, we can now localize a person by localizing his mobile phone. However, it is observed that presence of human bodies introduces heavy interference to mobile phone signals. This has been one of the major causes of inaccurate wireless localization for humans. In this paper,...
A posture training paradigm with visual biofeedback is presented for physical rehabilitation following posture disorders (e.g. Pusher Syndrome). The objectives of the current study were: to calculate centre of pressure (CoP) using Wii balance board, to calculate centre of mass (CoM) using Microsoft Kinect sensor, and conceptual design of visual postural-feedback paradigm so that the user can improve...
Video and image content has begun to play a growing role in many applications, ranging from video games to autonomous self-driving vehicles. In this paper, we present accelerators for gist-based scene recognition, saliency-based attention, and HMAX-based object recognition that have multiple uses and are based on the current understanding of the vision systems found in the visual cortex of the mammalian...
In this work particularities of visualisation of medical and wellness data through a digital patient avatar are given from a standpoint of a proposed approach, under which data for a visualisation may be obtained from a variety of sources through defined interfaces, while end-user interfaces of distinct complexity and level of immersion into the model may be exposed to different categories of users...
We consider the problem of minimizing equation for a planar curve having fixed initial and final positions and directions. The total length ℓ is free. Here s is the variable of arclength parametrization, K(s) is the curvature of the curve and ξ > 0 a parameter. This problem comes from a model of geometry of vision due to Petitot, Citti and Sarti.
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