LONG WAVE INFRARED IMAGE COLORIZATION FOR PERSON RE-IDENTIFICATION
نویسندگان
چکیده
منابع مشابه
Person Re-identification Meets Image Search
For long time, person re-identification and image search are two separately studied tasks. However, for person reidentification, the effectiveness of local features and the “query-search” mode make it well posed for image search techniques. In the light of recent advances in image search, this paper proposes to treat person re-identification as an image search problem. Specifically, this paper ...
متن کاملSupplementary Material for “RGB-Infrared Cross-Modality Person Re-Identification”
This supplementary material accompanies the paper “RGB-Infrared Cross-Modality Person Re-Identification”. It includes more details of Section 4, as well as extra evaluations of our proposed deep zero-padding method. 1. Details of Counting Domain-Specific Nodes In the third paragraph of Section 4.2 in the main manuscript, we quantify the number of domain-specific nodes in the trained network in ...
متن کاملLearning Efficient Image Representation for Person Re-Identification
Color names based image representation is successfully used in person re-identification, due to the advantages of being compact, intuitively understandable as well as being robust to photometric variance. However, there exists the diversity between underlying distribution of color names’ RGB values and that of image pixels’ RGB values, which may lead to inaccuracy when directly comparing them i...
متن کاملPose-Normalized Image Generation for Person Re-identification
Person Re-identification (re-id) faces two major challenges: the lack of cross-view paired training data and learning discriminative identity-sensitive and viewinvariant features in the presence of large pose variations. In this work, we address both problems by proposing a novel deep person image generation model for synthesizing realistic person images conditional on pose. The model is based ...
متن کاملLVreID: Person Re-Identification with Long Sequence Videos
This paper mainly establishes a large-scale Long sequence Video database for person re-IDentification (LVreID). Different from existing datasets, LVreID presents many important new features. (1) long sequences: the average sequence length is 200 frames, which convey more abundant cues like pose and viewpoint changes that can be explored for feature learning. (2) complex lighting, scene, and bac...
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: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
سال: 2019
ISSN: 2194-9034
DOI: 10.5194/isprs-archives-xlii-2-w12-111-2019