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Bhaskar Chakraborty. (2008). View-Invariant Human-Body Detection with Extension to Human Action Recognition using Component Wise HMM of Body Parts.
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Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (1999). Visual behaviours for binocular navigation with autonomous systems..
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Xavier Roca, Jordi Vitria, Maria Vanrell, & Juan J. Villanueva. (2000). Visual behaviours for binocular navigation with autonomous systems..
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Javier Varona, A. Pujol, & Juan J. Villanueva. (1999). Visual tracking in application domains..
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Javier Varona, A. Pujol, & Juan J. Villanueva. (2000). Visual Tracking in Application Domains..
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David Guillamet, M. Bressan, & Jordi Vitria. (2001). Weighted Non-negative Matrix Factorization for Local Representations..
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Juan Andrade, & F. Thomas. (2006). Wire-Based Tracking using Mutual Information.
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Razieh Rastgoo, Kourosh Kiani, & Sergio Escalera. (2022). Word separation in continuous sign language using isolated signs and post-processing.
Abstract: Continuous Sign Language Recognition (CSLR) is a long challenging task in Computer Vision due to the difficulties in detecting the explicit boundaries between the words in a sign sentence. To deal with this challenge, we propose a two-stage model. In the first stage, the predictor model, which includes a combination of CNN, SVD, and LSTM, is trained with the isolated signs. In the second stage, we apply a post-processing algorithm to the Softmax outputs obtained from the first part of the model in order to separate the isolated signs in the continuous signs. Due to the lack of a large dataset, including both the sign sequences and the corresponding isolated signs, two public datasets in Isolated Sign Language Recognition (ISLR), RKS-PERSIANSIGN and ASLVID, are used for evaluation. Results of the continuous sign videos confirm the efficiency of the proposed model to deal with isolated sign boundaries detection.
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