8,913 Hits in 3.9 sec

Bio-inspired Boosting for Moving Objects Segmentation [chapter]

Isabel Martins, Pedro Carvalho, Luís Corte-Real, José Luis Alba-Castro
2016 Lecture Notes in Computer Science  
This paper proposes a bio-inspired boosting method to address the problem of unsupervised segmentation of moving objects in video that shows the ability to overcome some of the limitations of widely used  ...  Developing robust and universal methods for unsupervised segmentation of moving objects in video sequences has proved to be a hard and challenging task.  ...  Bio-Inspired Hybrid Segmentation Method The proposed bio-inspired hybrid segmentation, represented in Figure 2 , merges information from two inherently different approaches: 1) the bio-inspired motion  ... 
doi:10.1007/978-3-319-41501-7_45 fatcat:5wjheb2m3bhtbg2qh2g5vlmhzu


N.B․ Zakaryan, M.G. Harutyunyan, S.D. Ghazaryan, Yu.L. Sarkissyan
A DE based algorithm for optimal mechanical design of the human upper limb bio-inspired exoskeleton is developed using MATLAB programming, and optimal values of the design parameters are determined.  ...  This paper focuses on the optimal mechanical design of the proposedhuman upper limb bio-inspired exoskeleton for improving its above-mentioned characteristics.  ...  In this paper, we design a bio-inspired rehabilitation exoskeleton using multi-objective DE algorithm.  ... 
doi:10.53297/18293387-2021.2-41 fatcat:2x7jduknsvbn3dmqg6x7rtlpoq

First results and future developments of the MIBISOC Project in the IBISlab of the university of parma

Stefano Cagnoni, Oscar Cordón, Pablo Mesejo, Youssef S.G. Nashed, Roberto Ugolotti
2012 Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference companion - GECCO Companion '12  
Medical Imaging using Bio-Inspired and Soft Computing" (MIBISOC) is a Marie Curie Initial Training Network (ITN) within the EU Seventh Framework Programme.  ...  MIBISOC is a training programme in which sixteen Early-Stage Researchers (ESRs) are exposed to a wide variety of Soft Computing (SC) and Bio-Inspired Computing (BC) techniques, and face the challenge of  ...  approaches to image analysis such as: • novel approaches to medical image analysis fully based on bio-inspired algorithms, or in which bio-inspired algorithms are an essential part [5] ; • techniques  ... 
doi:10.1145/2330784.2330865 dblp:conf/gecco/CagnoniCMNU12 fatcat:rp3xgwwqyrafxn5myot2qo5jnq

Resource-efficient bio-inspired visual processing on the hexapod walking robot HECTOR

Hanno Gerd Meyer, Daniel Klimeck, Jan Paskarbeit, Ulrich Rückert, Martin Egelhaaf, Mario Porrmann, Axel Schneider, Olena Riabinina
2020 PLoS ONE  
Emulating the highly resource-efficient processing of visual motion information in the brain of flying insects, a bio-inspired controller for collision avoidance and navigation was implemented on a novel  ...  By leveraging highly parallelized bio-inspired algorithms to extract nearness information from visual motion in dynamically reconfigurable logic, HECTOR is able to navigate to predefined goal positions  ...  The bio-inspired control of walking is achieved via a conversion of the WALKNET approach. Bottom view (B) and rendered side view (C) of the front segment of HECTOR.  ... 
doi:10.1371/journal.pone.0230620 pmid:32236111 fatcat:wclrd2h2r5hdhkiwew2xck7maq

A Fast Adaptive Block-matching Motion Estimation Algorithm

Youwei Yuan, Weilei Xu, Yong Li, Lamei Yan
2014 International Journal of Multimedia and Ubiquitous Engineering  
The main goal is to bridge the gap between algorithmic and biological vision by suggesting a bio-inspired motion estimation model based on neural network.  ...  In this work, we have developed a new bio-inspired neural network algorithms for blockbased motion estimation.  ...  This paper proposes a new approach using bio-inspired neural networks in order to reduce block-based motion estimation with low complexity.  ... 
doi:10.14257/ijmue.2014.9.4.10 fatcat:rh2mz2qn25gpthhcbmgksyj3zm

A biologically inspired system for human posture recognition

Shoushun Chen, Polina Akselrod, Eugenio Culurciello
2009 2009 IEEE Biomedical Circuits and Systems Conference  
The system employs event-based temporal difference image between video sequences as input and builds a network of bio-inspired Gaborlike filters to detect contours of the active object.  ...  Compared to state-of-the art bio-inspired categorization methods shows great computational savings, and is an ideal candidate for hardware implementation with event-based circuits.  ...  BIO-INSPIRED FILTERS AND FEATURE EXTRACTION Our feature extraction algorithm follows a recent model of object recognition in primate visual cortex [9] .  ... 
doi:10.1109/biocas.2009.5372070 fatcat:hddiu3sg3bgbdlajngw4vqlouu

Bio-Inspired Architecture for Deriving 3D Models from Video Sequences [chapter]

Julius Schöning, Gunther Heidemann
2017 Lecture Notes in Computer Science  
To enable machines for doing the same, we propose a bio-inspired processing architecture, which is motivated by the human visual system and converts video data into 3D representations.  ...  Similar to the hierarchy of the ventral stream, our process reduces the influence of the position information in the video sequences by object recognition and represents the object of interest as multiple  ...  Overview of the bio-inspired architecture for deriving 3D models out of video sequences powered by viewpoint-specific object recognition.  ... 
doi:10.1007/978-3-319-54427-4_5 fatcat:irtuhiv5afe6fcuv7v6fn6fb7y

Simulation Analysis of an Octopus-Inspired Propulsion Mechanism

Motomu Nakashima, Tsutomu Nakano
2015 Journal of Aero Aqua Bio-mechanisms  
After a simulation based on observation data, the optimization of the arm stroke was carried out. In the simulation based on the observation data, successful propulsion was confirmed.  ...  The objective of this study was to investigate the swimming movement of an octopusinspired propulsion mechanism. First, a simulation model for the mechanism was constructed.  ...  The objective of this study was to investigate the swimming movement of an octopus-inspired propulsion mechanism.  ... 
doi:10.5226/jabmech.4.49 fatcat:alip46xvyjc5fk2a3kvpp6qt5q

MirrorNet: Bio-Inspired Camouflaged Object Segmentation

Jinnan Yan, Trung-Nghia Le, Khanh-Duy Nguyen, Minh-Triet Tran, Thanh-Toan Do, Tam V. Nguyena
2021 IEEE Access  
INDEX TERMS Camouflaged object segmentation, bio-inspired network.  ...  In this paper, we propose a novel bio-inspired network, named the MirrorNet, that leverages both instance segmentation and bio-inspired attack stream for the camouflaged object segmentation.  ...  Our bio-inspired MirrorNet leverages both instance segmentation and bio-inspired attack stream to segment camouflaged objects in images.  ... 
doi:10.1109/access.2021.3064443 fatcat:3mqj5euadncc7mo26w5o5fyawe

Visuospatial Working Memory for Autonomous UAVs: A Bio-Inspired Computational Model

José-Antonio Cervantes, Sonia López, Salvador Cervantes, Adriana Mexicano, Jonathan-Hernando Rosales
2021 Applied Sciences  
A bio-inspired computational model of Visuospatial Working Memory (VSWM) is proposed in this paper to endow Autonomous Unmanned Aerial Vehicles (UAVs) with this cognitive function.  ...  The visuospatial ability of the VSWM model was measured in terms of the ability to classify and locate objects in the environment.  ...  The VC module implements a heatmap-based visual stimuli detection method. This method is an adapted implementation of the heatmap-based object detection method used in CenterNet [29, 30] .  ... 
doi:10.3390/app11146619 fatcat:bkotayolujfbphpdx2o6awrbdu

Segmentation algorithm via Cellular Neural/Nonlinear Network: implementation on Bio-inspired hardware platform

Fethullah Karabiber, Pietro Vecchio, Giuseppe Grassi
2011 EURASIP Journal on Advances in Signal Processing  
The Bio-inspired (Bi-i) Cellular Vision System is a computing platform consisting of sensing, array sensingprocessing, and digital signal processing.  ...  The platform is based on the Cellular Neural/Nonlinear Network (CNN) paradigm. This article presents the implementation of a novel CNN-based segmentation algorithm onto the Bi-i system.  ...  Based on these considerations, this article presents the implementation of a novel CNN-based segmentation algorithm onto the Bio-inspired (Bi-i) Cellular Vision System [9] .  ... 
doi:10.1186/1687-6180-2011-69 fatcat:mggvsmnj4vhghhdka7yugs3wn4

Bio-inspired computer vision: Towards a synergistic approach of artificial and biological vision

N. V. Kartheek Medathati, Heiko Neumann, Guillaume S. Masson, Pierre Kornprobst
2016 Computer Vision and Image Understanding  
Studies in biological vision have always been a great source of inspiration for design of computer vision algorithms.  ...  vision and discuss the foundations of existing computational studies modelling biological vision, but also we consider three classical computer vision tasks from a biological per spective: image sensing, segmentation  ...  Promising bio-inspired solutions.  ... 
doi:10.1016/j.cviu.2016.04.009 fatcat:lad5bwlqgbb5nhgtnxj6d32mc4

A Survey on Recent Trends of PIO and Its Variants Applied for Motion Planning of Dynamic Agents [chapter]

Muhammad Shafiq, Zain Anwar Ali, Eman H. Alkhammash
2021 Motion Planning [Working Title]  
Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms.  ...  This survey might be extended up to application based in order to understand the importance of algorithm in future studies.  ...  [47] "Limit-Cycle-Based Mutant Multi- objective Pigeon-Inspired Optimization" Limit-Cycle-based Mutant Multi- Objective Pigeon-Inspired Optimization (CMMOPIO) Multi- Objective Optimization Algorithms  ... 
doi:10.5772/intechopen.99881 fatcat:rcltdyrpufgrxm55pbscdtd4wm

Biologically-Inspired Computational Neural Mechanism for Human Action/activity Recognition: A Review

Bardia Yousefi, Chu Kiong Loo
2019 Electronics  
This paper describes different perspective to look at this task including action perception, computational and knowledge based modeling, psychological, and neuroscience approaches.  ...  Such recognition is supposed to handle object variations (e.g., style and size), and the human brain can excellently categorize human objects in different classes of action (recent bio-inspired methods  ...  CNN is a deep learning approach, which is bio-inspired and develops a 3D CNN for the task.  ... 
doi:10.3390/electronics8101169 fatcat:v6cuchycurd2xg7cx545dwujy4

A robot leg with compliant tarsus and its neural control for efficient and adaptive locomotion on complex terrains

G. Di Canio, S. Stoyanov, J. C. Larsen, J. Hallam, A. Kovalev, T. Kleinteich, S. N. Gorb, P. Manoonpong
2016 Artificial Life and Robotics  
., rocky and curved surfaces) and to manipulate objects.  ...  We also apply neural control, based on a central pattern generator (CPG) circuit and synaptic plasticity, to autonomously generate a proper moving frequency of the leg.  ...  A bio-inspired compliant tarsus (i.e., robot foot) was developed and attached to the last segment of the leg.  ... 
doi:10.1007/s10015-016-0296-3 fatcat:5r74jmvk2jht7hfku4rum5b34i
« Previous Showing results 1 — 15 out of 8,913 results