Parts Semantic Segmentation Aware Representation Learning for Person Re-Identification
نویسندگان
چکیده
منابع مشابه
Learning Compact Appearance Representation for Video-based Person Re-Identification
This paper presents a novel approach for video-based person re-identification using multiple Convolutional Neural Networks (CNNs). Unlike previous work, we intend to extract a compact yet discriminative appearance representation from several frames rather than the whole sequence. Specifically, given a video, the representative frames are selected based on the walking profile of consecutive fram...
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 کاملDeep Representation Learning with Part Loss for Person Re-Identification
Learning discriminative representations for unseen person images is critical for person Re-Identification (ReID). Most of current approaches learn deep representations in classification tasks, which essentially minimize the empirical classification risk on the training set. As shown in our experiments, such representations commonly focus on several body parts discriminative to the training set,...
متن کاملHuman 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 کاملScience Deep learning for person re - identification
Person re-identification is the task of ranking a gallery of automatically detected images of persons using a set of query images. This is challenging due to the different poses, viewpoints, occlusions, camera configurations, image distortions, lighting conditions, image resolutions and imperfect detections, which all affects a person re-identification system’s performance. Recently deeply lear...
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: Applied Sciences
سال: 2019
ISSN: 2076-3417
DOI: 10.3390/app9061239