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18th IEEE International Joint Conference on Biometrics, IJCB 2024

作者： Wang, Rui Shen, Chuanfu Marin-Jimenez, Manuel J. Huang, George Q. Yu, Shiqi Southern University of Science and Technology Department of Computer Science and Engineering China The University of Hong Kong Department of Industrial and Manufacturing Systems Engineering Hong Kong University of Cordoba Department of Computing and Numerical Analysis Spain The Hong Kong Polytechnic University Department of Industrial and Systems Engineering Hong Kong

ISBN: (纸本)9798350364132

Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different sensors in order to adapt to various environments. A more practical approach should involve cross-modality matching across different sensors. Hence, this paper focuses on investigating the problem of cross-modality gait recognition, with the objective of accurately identifying pedestrians across diverse vision sensors. We present CrossGait inspired by the feature alignment strategy, capable of cross retrieving diverse data modalities. Specifically, we investigate the cross-modality recognition task by initially extracting features within each modality and subsequently aligning these features across modalities. To further enhance the cross-modality performance, we propose a Prototypical Modality-shared Attention Module that learns modality-shared features from two modality-specific features. Additionally, we design a Cross-modality Feature Adapter that transforms the learned modality-specific features into a unified feature space. Extensive experiments conducted on the SUSTech1K dataset demonstrate the effectiveness of CrossGait: (1) it exhibits promising cross-modality ability in retrieving pedestrians across various modalities from different sensors in diverse scenes, and (2) CrossGait not only learns modality-shared features for cross-modality gait recognition but also maintains modality-specific features for single-modality recognition. © 2024 IEEE.

关键词： Unattended sensors

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Optimising the Software Development Process with Artificial Intelligence 1

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丛书名： Natural computing Series

1000年

作者： José Raúl Romero Inmaculada Medina-Bulo Francisco Chicano

ISBN: (数字)9789811999482

ISBN: (纸本)9789811999475;9789811999505

This book offers a practical introduction to the use of artificial intelligence (AI) techniques to improve and optimise the various phases of the software development process, from the initial project planning to the latest deployment. All chapters were written by leading experts in the field and include practical and reproducible examples.

关键词： Artificial Intelligence Software Engineering/Programming and Operating Systems Machine Learning

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The paper model for computer-based writing 93

The paper model for computer-based writing

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Proceedings of the INTERACT '93 and CHI '93 Conference on Human Factors in computing Systems

作者： Ann Fatton Staffan Romberger Kerstin Severinson Eklundh IPLab Department of Numerical Analysis and Computing Science Royal Institute of Technology S-100 44 Stockholm Sweden

No abstract available.

ISBN: (纸本)9780897915755

No abstract available.

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Continuous stereo gesture recognition with multi-layered silhouette templates and support vector machines

Continuous stereo gesture recognition with multi-layered sil...

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6th Mexican International Conference on Artificial Intelligence, MICAI 2007

作者： Muñoz-Salinas, Rafael Aguirre, Eugenio Garciáa-Silvente, Miguel Goámez, Moises Department of Computing and Numerical Analysis Escuela Politeáctnica Superior University of Coárdoba 14071 Coárdoba Spain Department. de Computer Science and Artificial Intelligence E.T.S. Ingenieria Informatica University of Granada 18071 Granada Spain

ISBN: (纸本)9783540766308

This paper presents a novel approach for continuous gesture recognition using depth range sensors. Our approach can be seen as an extension of Motion Templates [1] using multiple layers that register the three-dimensional nature of the human gestures. Our Multi-Layered templates are created using depth silhouettes, the extension of binary silhouettes when depth information is available. Both the original Motion Templates and our extension have been tested using several classification approaches in order to determine the best one. These approaches include the use of Hu-moments (originally employed in [1]), PCA and Support Vector Machines. Finally, we propose a methodology for creating a continuous gesture recogniser using motion templates. The methodology is applied both to our representation approach and to the original proposal. In order to validate our proposal, several stereo-video sequences have been recorded showing eight people performing a total of ten different gestures that are prone to be confused when monocular vision is used. The conducted experiments show that our proposal performs a 20% better than the original method. © Springer-Verlag Berlin Heidelberg 2007.

关键词： Gesture recognition

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Approximation on the web: A compendium of NP optimization problems

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International Workshop on Randomization and Approximation Techniques in Computer science, RANDOM 1997

作者： Crescenzi, P. Kann, V. Dipartimento di Scienze dell'Informazione Università degli Studi di Roma "La Sapienza" Via Salaria 113 Rome00198 Italy Department of Numerical Analysis and Computing Science Royal Institute of Technology StockholmS-100 44 Sweden

ISBN: (纸本)3540632484

A compendium of NP optimization problems, containing the best approximation results known for each problem, is now available on the web at http://***/~viggo/problemlist/. In this paper we describe such a compendium, and specify how the compendium is consultable (and modifiable) on the world wide web. © Springer-Verlag Berlin Heidelberg 1997.

关键词： Optimization

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A GA-based multiple simulated annealing

A GA-based multiple simulated annealing

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Congress on Evolutionary Computation

作者： Francisco Javier Rodríguez-Díaz Carlos García-Martínez Manuel Lozano Department of Computer Science and Artificial Intelligence University of Granada Spain Department of Computing and Numerical Analysis University of Córdoba Spain

The design of hybrid metaheuristics with ideas from the simulated annealing and evolutionary algorithms fields is a fruitful research line. In this paper, we present a new hybrid algorithm based on a genetic algorithm, whose search process simulates several parallel simulated annealing processes. An empirical study comparing the new model with classic simulated annealing, hybrid metaheuristics based on evolutionary algorithms and simulated annealing, and two evolutionary algorithms, concludes that the alternative scheme for combining ideas from simulated annealing and evolutionary algorithms introduced by the proposal may improve the performance of this kind of hybrid algorithms.

关键词： Simulated annealing Convergence Proposals Evolutionary computation Trajectory Algorithm design and analysis

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Modelling Hebbian cell assemblies comprised of cortical neurons

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Network: Computation in Neural Systems 1992年第2期3卷 105-119页

作者： A Lansner E Fransen SANS—Studies of Artificial Neural Systems Department of Numerical Analysis and Computing Science Royal Institute of Technology S-l00 44 Stockholm Sweden

A highly simplified network model of cortical associative memory, based on Hebb's theory of cell assemblies, has been developed and simulated. The network comprises realistically modelled pyramidal-type cells and inhibitory fast-spiking interneurons and its connectivity is adopted from a trained recurrent artificial neural network. After-activity, pattern completion and competition between cell assemblies is readily produced. If, instead of pyramidal cells, motor neuron type cells are used, network behaviour changes drastically. For instance, spike synchronization can be observed but after-activity is hard to produce. The authors results support the biological feasibility of Hebb's cell assembly theory. The analogy between this theory and recurrent artificial neural network models is discussed.

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Seeing the obvious [robot vision]

Seeing the obvious [robot vision]

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International Conference on Pattern Recognition

作者： C.G. Brautigam J. Garding J.-O. Eklundh Computational Vision and Active Perception Laboratory Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm Sweden

We propose an approach to determine the occurrence of low-parametric qualitative models from images by a hypothesis-and-test approach based on the coincidence of multiple cues, thereby avoiding complete reconstruction of the scene. A system is presented which applies the approach to finding instances of planar surfaces, as it is important in many tasks for mobile or manipulating robots. The system uses monocularly determined L-junctions and binocular disparities. A notable feature of the approach is that it finds the most conspicuous exemplar of the model first. This property seems quite relevant for an agent using vision to guide its behaviors, since the simplest solution becomes available early on.

关键词： Layout Image reconstruction Surface reconstruction Testing Cameras Computer vision Mobile robots Laboratories numerical analysis Data mining

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Simulated neuromodulatory effects on the nonlinear dynamics of olfactory cortex

Simulated neuromodulatory effects on the nonlinear dynamics ...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Liljenstrom X.B. Wu Department of Numerical Analysis and Computing Science Royal Institute of Technology SANS Studies of Artijicial Neural Systems Stockholm Sweden

The dynamic behavior of cortical structures can change significantly in character by different types of neuromodulators. We simulate such effects in a neural network model of the olfactory cortex and analyze the resulting nonlinear dynamics of this system. The model uses simple network units and a network connectivity which closely resembles that of the real cortex. The input-output relation of populations of neurons is represented as a sigmoid function, with a single parameter determining threshold, slope and amplitude of the curve. This parameter is taken to correspond to the level of neuromodulator and correlated with the level of arousal of an animal. By varying this "gain parameter" we show that the model can give point attractor, limit cycle attractor and strange chaotic or nonchaotic attractor behavior. We also display "transient chaos", which begins with chaos-like behavior but eventually goes to a limit cycle. We show how this complex dynamics is related to learning and associative memory in our system and discuss the biological significance of this.

关键词： Brain modeling Olfactory Nonlinear dynamical systems Chaos Limit-cycles Analytical models Neural networks Neurons Animals Displays

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Noise and neuromodulatory effects in a cortical associative memory model

Noise and neuromodulatory effects in a cortical associative ...

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International Joint Conference on Neural Networks (IJCNN)

作者： H. Liljenstrom X.B. Wu SANS-Studies of Artificial Neural Systems Department of Numerical Analysis and Computing Science Royal Institute of Technology Stockholm Sweden

We study the role of complex neurodynamics in learning and associative memory using a neural network model of the olfactory cortex. By varying the noise level and a control parameter, corresponding to the level of neuromodulator or arousal, we analyze the resulting nonlinear dynamics during learning and recall of constant and oscillatory input. Point attractor, limit cycle, and strange attractor dynamics occur at different values of the control parameter. We show that oscillations and chaos-like behavior can give shorter recall times and more robust memory states than in static cases. In particular, we show that the recall time can reach a minimum for additive and multiplicative noise. Also noise-induced state transitions and noise-induced chaos-like behavior is demonstrated.< >

关键词： Associative memory Chaos Additive noise Neurodynamics Neural networks Brain modeling Olfactory Noise level Limit-cycles Noise robustness

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