| 书目名称 | Performance Evaluation Software |
| 副标题 | Moving Object Detect |
| 编辑 | Bahadir Karasulu,Serdar Korukoglu |
| 视频video | |
| 概述 | Includes supplementary material: |
| 丛书名称 | SpringerBriefs in Computer Science |
| 图书封面 |  |
| 描述 | .Performance Evaluation Software: Moving Object Detection and Tracking in Videos .introduces a software approach for the real-time evaluation and performance comparison of the methods specializing in moving object detection and/or tracking (D&T) in video processing. Digital video content analysis is an important item for multimedia content-based indexing (MCBI), content-based video retrieval (CBVR) and visual surveillance systems. There are some frequently-used generic algorithms for video object D&T in the literature, such as Background Subtraction (BS), Continuously Adaptive Mean-shift (CMS), Optical Flow (OF), etc. An important problem for performance evaluation is the absence of any stable and flexible software for comparison of different algorithms. In this frame, we have designed and implemented the software for comparing and evaluating the well-known video object D&T algorithms on the same platform. This software is able to compare them with the same metrics in real-time and on the same platform. It also works as an automatic and/or semi-automatic test environment in real-time, which uses the image and video processing essentials, e.g. morphological operations and filters, a |
| 出版日期 | Book 2013 |
| 关键词 | Image Processing; People Detection; People Tracking; Performance Evaluation; Video Processing |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-1-4614-6534-8 |
| isbn_softcover | 978-1-4614-6533-1 |
| isbn_ebook | 978-1-4614-6534-8Series ISSN 2191-5768 Series E-ISSN 2191-5776 |
| issn_series | 2191-5768 |
| copyright | The Author(s) 2013 |
发表于 2025-3-21 16:13:49
