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Introduction

In: Multi-Level Bayesian Models for Environment Perception

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  • Csaba Benedek

    (Institute for Computer Science and Control (SZTAKI))

Abstract

This chapter presents the key problem statements and solutions discussed in the book. An overview is provided on timely challenges in environment perception, by introducing recent sensor technologies and methodologies which are efficient candidates to handle the tasks ahead. A survey of various image segmentationImage segmentation and image-based object population modeling approaches is given, by emphasizing the limitations of existing techniques, and the points of progress where the methods of the book provide contributions. Key issues in change detectionChange detection, information fusion, and hierarchical image content modeling are focused based on the joint utilization of various data models and geometric shape descriptors, embedded into a strict probabilistic inference framework. A short overview of the remaining parts of the book closes the chapter.

Suggested Citation

  • Csaba Benedek, 2022. "Introduction," Springer Books, in: Multi-Level Bayesian Models for Environment Perception, chapter 0, pages 1-7, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-83654-2_1
    DOI: 10.1007/978-3-030-83654-2_1
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