Model-based Visual Tracking: the OpenTL Framework (Hardcover)

This book has two main goals: to provide a unifed and structured overview of this growing field, as well as to propose a corresponding software framework, the OpenTL library, developed by the author and his working group at TUM-Informatik.

The main objective of this work is to show, how most real-world application scenarios can be naturally cast into a common description vocabulary, and therefore implemented and tested in a fully modular and scalable way, through the defnition of a layered, object-oriented software architecture.The resulting architecture covers in a seamless way all processing levels, from raw data acquisition up to model-based object detection and sequential localization, and defines, at the application level, what we call the tracking pipeline. Within this framework, extensive use of graphics hardware (GPU computing) as well as distributed processing, allows real-time performances for complex models and sensory systems.

這本書有兩個主要目標：提供這個不斷發展的領域的統一和結構化概述，以及提出相應的軟體框架，即作者和他在TUM-Informatik的工作團隊開發的OpenTL程式庫。

這項工作的主要目標是展示大多數現實應用場景如何自然地轉化為共同的描述詞彙，並因此以完全模塊化和可擴展的方式進行實施和測試，通過定義分層的面向對象的軟體架構。所得到的架構以無縫的方式涵蓋了所有處理層級，從原始數據獲取到基於模型的物體檢測和序列定位，並在應用層面上定義了我們所謂的追蹤流程。在這個框架內，廣泛使用圖形硬體（GPU運算）以及分散處理，可以實現複雜模型和感知系統的實時性能。