System for robust reading of text in images using deep learning
Deep learning and complex networks applied to computer vision
| Full text | |
| Author(s): Show less - |
Goncalves Dos Santos, Claudio Filipi
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Oliveira, Diego De Souza
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Passos, Leandro A.
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Pires, Rafael Goncalves
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Silva Santos, Daniel Felipe
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Valem, Lucas Pascotti
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Moreira, Thierry P.
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Santana, Marcos Cleison S.
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Roder, Mateus
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Papa, Joao Paulo
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Colombo, Danilo
Total Authors: 11
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| Document type: | Journal article |
| Source: | ACM COMPUTING SURVEYS; v. 55, n. 2, p. 34-pg., 2023-03-01. |
| Abstract | |
In general, biometry-based control systems may not rely on individual expected behavior or cooperation to operate appropriately. Instead, such systems should be aware of malicious procedures for unauthorized access attempts. Some works available in the literature suggest addressing the problem through gait recognition approaches. Such methods aim at identifying human beings through intrinsic perceptible features, despite dressed clothes or accessories. Although the issue denotes a relatively long-time challenge, most of the techniques developed to handle the problem present several drawbacks related to feature extraction and low classification rates, among other issues. However, deep learning-based approaches recently emerged as a robust set of tools to deal with virtually any image and computer-vision-related problem, providing paramount results for gait recognition as well. Therefore, this work provides a surveyed compilation of recent works regarding biometric detection through gait recognition with a focus on deep learning approaches, emphasizing their benefits and exposing their weaknesses. Besides, it also presents categorized and characterized descriptions of the datasets, approaches, and architectures employed to tackle associated constraints. (AU) | |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: what can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 20/12101-0 - Support for computational environments and experiments execution: data acquisition, categorization and maintenance |
| Grantee: | Leandro Aparecido Passos Junior |
| Support Opportunities: | Scholarships in Brazil - Technical Training Program - Technical Training |
| FAPESP's process: | 19/07665-4 - Center for Artificial Intelligence |
| Grantee: | Fabio Gagliardi Cozman |
| Support Opportunities: | Research Grants - Research Program in eScience and Data Science - Research Centers in Engineering Program |
| FAPESP's process: | 13/07375-0 - CeMEAI - Center for Mathematical Sciences Applied to Industry |
| Grantee: | Francisco Louzada Neto |
| Support Opportunities: | Research Grants - Research, Innovation and Dissemination Centers - RIDC |