As a growing number of low-resolution (LR) face images are captured by surveillance cameras, LR face recognition has been a hot issue for recent years. Previous efforts on LR face recognition typically assume each subject has multiple high-resolution (HR) training samples. However, this assumption may not hold in some special cases such as law-enforcement where only a single HR sample per perso...

Keywords: Face recognition Fisher linear discriminant analysis (FLDA) Single training image per person Singular value decomposition (SVD) a b s t r a c t Fisher linear discriminant analysis (FLDA) has been widely used for feature extraction in face recognition. However, it cannot be used when each object has only one training sample because the intra-class variations cannot be statistically mea...

Meaghan Duetsch is an economist in the Branch of Information and Analysis, Division of Consumer Expenditure Surveys, Bureau of Labor Statistics. MEAGHAN DUETSCH Do single women spend their money differently than single men do? If so, can their spending differences be attributed to differences in characteristics between the two groups? In addition, have the spending patterns of single men and si...

multiple people detection and tracking is a challenging task in real-world crowded scenes. in this paper, we have presented an online multiple people tracking-by-detection approach with a single camera. we have detected objects with deformable part models and a visual background extractor. in the tracking phase we have used a combination of support vector machine (svm) person-specific classifie...

Multi-person pose estimation generally follows top-down and bottom-up paradigms. The paradigm detects all human boxes then performs single-person on each ROI. locates identity-free keypoints groups them into individuals. Both of use an extra stage to build the relationship between instance corresponding (e.g., detection in a manner or grouping process manner). leads high computation cost redund...