Person Re-Identification by Semantic Region Representation and Topology Constraint
نویسندگان
چکیده
منابع مشابه
Human Semantic Parsing for Person Re-identification
Person re-identification is a challenging task mainly due to factors such as background clutter, pose, illumination and camera point of view variations. These elements hinder the process of extracting robust and discriminative representations, hence preventing different identities from being successfully distinguished. To improve the representation learning, usually local features from human bo...
متن کاملPerson Re-identification by Attributes
Visually identifying a target individual reliably in a crowded environment observed by a distributed camera network is critical to a variety of tasks in managing business information, border control, and crime prevention. Automatic re-identification of a human candidate from public space CCTV video is challenging due to spatiotemporal visual feature variations and strong visual similarity betwe...
متن کاملDistance-based Camera Network Topology Inference for Person Re-identification
In this paper, we propose a novel distance-based camera network topology inference method for efficient person re-identification. To this end, we first calibrate each camera and estimate relative scales between cameras. Using the calibration results of multiple cameras, we calculate the speed of each person and infer the distance between cameras to generate distance-based camera network topolog...
متن کاملLeveraging local neighborhood topology for large scale person re-identification
In this paper we describe a semi-supervised approach to person re-identification that combines discriminative models of person identity with a Conditional Random Field (CRF) to exploit the local manifold approximation induced by the nearest neighbor graph in feature space. The linear discriminative models learned on few gallery images provides coarse separation of probe images into identities, ...
متن کاملEarly Active Learning with Pairwise Constraint for Person Re-identification
Research on person re-identification (re-id) has attached much attention in the machine learning field in recent years. With sufficient labeled training data, supervised re-id algorithm can obtain promising performance. However, producing labeled data for training supervised reid models is an extremely challenging and time-consuming task because it requires every pair of images across no-overla...
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: IEEE Transactions on Circuits and Systems for Video Technology
سال: 2019
ISSN: 1051-8215,1558-2205
DOI: 10.1109/tcsvt.2018.2866260