Person Re-Identification (Advances in Computer Vision and Pattern Recognition)

The first book of its kind dedicated to the challenge of person re-identification, this text provides an in-depth, multidisciplinary discussion of recent developments and state-of-the-art methods. Features: introduces examples of robust feature representations, reviews salient feature weighting and selection mechanisms and examines the benefits of semantic attributes; describes how to segregate meaningful body parts from background clutter; examines the use of 3D depth images and contextual constraints derived from the visual appearance of a group; reviews approaches to feature transfer function and distance metric learning and discusses potential solutions to issues of data scalability and identity inference; investigates the limitations of existing benchmark datasets, presents strategies for camera topology inference and describes techniques for improving post-rank search efficiency; explores the design rationale and implementation considerations of building a practical re-identification system.

這本專注於人物再識別挑戰的首部書籍，提供了一個深入且多學科的討論，介紹了最新發展和最先進的方法。特點包括：介紹了強健特徵表示的例子，回顧了顯著特徵加權和選擇機制，並探討了語義屬性的好處；描述了如何從背景雜訊中區分出有意義的身體部位；探討了使用3D深度圖像和從視覺外觀中獲得的上下文約束的方法；回顧了特徵轉換函數和距離度量學習的方法，並討論了數據可擴展性和身份推斷問題的潛在解決方案；研究了現有基準數據集的限制，提出了攝像頭拓撲推斷的策略，並描述了提高後排序搜索效率的技術；探索了構建實用再識別系統的設計原理和實施考慮因素。