The combination of global and partial features has been an essential solution to improve discriminative performances in person re-identification (Re-ID) tasks. Previous part-based methods mainly focus on locating regions with specific pre-defined semantics to learn local representations, which increases learning difficulty but not efficient or robust to scenarios with large variances. In this p...

In this paper, a hybrid person authentication prototype integrating multiple biometric devices is presented. This prototype is based on several levels of abstractions: data representations, vectors and classifiers. Frontal face and text -dependent voice biometrics are chosen to authenticate a user. For each of the biometric feature, an extractor, a classifier and a simple negotiation scheme hav...

the main goal of this research is to study, through the minimalist program, the mechanism of checking phi(φ)-features (person & number) and nominative case in persian sentences. different syntactic structures are examined in this paper. it is shown that verb raising is overt in persian and that the uninterpretable φ-features of the finite tense head are valued & checked by the interpretable φ-f...

264  Abstract— Feature extraction is one of the main topics in Computer Vision. This paper presents the extraction of features of interest from two or more images of the same and different objects and the matching of these features in adjacent images. Each of these feature vectors is supposed to be distinctive and invariant to any scaling, rotation or translation of the image. It uses the SIFT...

This paper proposes a novel image representation for person re-identification. Since one person is assumed to wear the same clothes in different images, the color information of person images is very important to distinguish one person from the others. Motivated by this, in this paper, we propose a simple but effective representation named Gaussian descriptor based on Local Features (GaLF). Com...

In this paper, the authors present a multimodal biometric system using face and fingerprint features with the incorporation of Zernike Moment (ZM) and Radial Basis Function (RBF) Neural Network for personal authentication. It has been proven that face authentication is fast but not reliable while fingerprint authentication is reliable but inefficient in database retrieval. With regard to this f...

I shall refer to the reading in (1b) as the ‘bound reading’ of sentence (1), and to the reading in (1a) as the ‘strict reading’ of (1). The availability of the bound reading in (1) and sentences akin to it has garnered a healthy amount of attention in recent years (Heim 1991, Kratzer 1998, Heim 2002, Rullmann 2003, Schlenker 2003, von Stechow 2003, Kratzer 2005, Schlenker 2005). The prima facie...

Bag-of-feature (BoF) models currently achieve state-of-the-art performance for action recognition. While such models do not explicitly account for people in video, person localization combined with BoF is expected to give further improvement for action recognition. The purpose of this paper is to validate this assumption and to quantify the improvements in action recognition expected from curre...

This paper provides a high-level overview of how automatic person matching (genealogical record linkage) algorithms can be developed, and then provides a detailed explanation of many of the features used by FamilySearch in doing person matching. Empirical results show a dramatic improvement in accuracy by using these features trained with neural networks, when compared to traditional probabilis...