Person Detection from Overhead View: A Survey
نویسندگان
چکیده
منابع مشابه
A Person Identification Method Using a Top-View Head Image from an Overhead Camera
In this paper, we describe a novel imagebased person identification task. Traditional facebased person identification methods have a low tolerance for occluded situation, such as overlapping of people in an image. We focus on an image from an overhead camera. Using the overhead camera reduces a restriction of the installation location of a camera and solves the problem of occluded images. First...
متن کاملView-independent person identification from human gait
Based on a three-dimensional (3D) linear model and the Bayesian rule,a method is explored to identify human walkers from two-dimensional (2D) motion sequences taken from different viewpoints. Principal component analysis constructs the 3D linear model from a set of Fourier represented examples. The sets of coefficients derived from projecting 2D motion sequences onto the 3D model by means of a ...
متن کاملFace recognition from a single image per person: A survey
One of the main challenges faced by the current face recognition techniques lies in the difficulties of collecting samples. Fewer samples per person mean less laborious effort for collecting them, lower costs for storing and processing them. Unfortunately, many reported face recognition techniques rely heavily on the size and representative of training set, and most of them will suffer serious ...
متن کاملResistance in Psychotherapy: a Person-centered View
Client or patient resistance in psychotherapy has been the concern of therapists since the time of Freud. Freud identified several kinds of resistance. These included the patient's resistance to uncovering repressed material; resistance to the insights provided by the therapist's interpretations; resistance to the therapist as the provider of these insights--the negative transference; resistanc...
متن کاملView-Adaptive Metric Learning for Multi-view Person Re-identification
Person re-identification is a challenging problem due to drastic variations in viewpoint, illumination and pose. Most previous works on metric learning learn a global distance metric to handle those variations. Different from them, we propose a view-adaptive metric learning (VAML) method, which adopts different metrics adaptively for different image pairs under varying views. Specifically, give...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Advanced Computer Science and Applications
سال: 2019
ISSN: 2156-5570,2158-107X
DOI: 10.14569/ijacsa.2019.0100470