منابع مشابه
Clothed People Detection in Still Images
We present a trainable system for locating clothed people in photographic images. People detection is a particularly challenging image understanding problem; as a result of variations in clothing and posture, the appearance of people may vary enormously from image to image. Our approach attempts to construct a maximally personlike assembly of image regions, where candidate regions are provided ...
متن کاملMusic Information Retrieval Using Hit Count Vector
Roughly speaking, music can be easily and cheaply accessed via Internet, but at the same time, finding certain music is still a difficult task. In this paper, a music retrieval system based on frequency descriptors is presented. The work flow of proposed system passes through two main phases: (i) the enrollment phase and (ii) the retrieval phase. In both phases, two models are presented (i.e., ...
متن کاملDTV: Detection, Tracking and Validation Framework for Unique People Count
Counting the unique number of people in a video (i.e., counting a person only once while the person is within the field of view), is required in many significant video analytical applications, such as transit passenger and pedestrian volume count in railway stations, shopping malls and road intersections and many others. In this paper, a novel framework is proposed for counting passengers, main...
متن کاملRelationship between CD4 count and CD4% in HIV-infected people.
OBJECTIVE To describe the relationship between absolute CD4 count and CD4%, and the influence on this of gender, risk group, age, a diagnosis of AIDS, use of zidovudine (ZDV) therapy and PCP prophylaxis. METHODS 9203 paired serial measurements of CD4 count and CD4% on 1017 initially AIDS-free and ZDV-naive HIV positive patients from a London-based cohort were available for analysis. Multi-lev...
متن کاملPeople Counting in High Density Crowds from Still Images
We present a method of estimating the number of people in high density crowds from still images. The method estimates counts by fusing information from multiple sources. Most of the existing work on crowd counting deals with very small crowds (tens of individuals) and use temporal information from videos. Our method uses only still images to estimate the counts in high density images (hundreds ...
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ژورنال
عنوان ژورنال: Congrès conjoint ASTED-CLA
سال: 2018
ISSN: 2291-8949,0315-2340
DOI: 10.7202/1052708ar