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Performance Evaluation Software [electronic resource] : Moving Object Detection and Tracking in Videos / by Bahadir Karasulu, Serdar Korukoglu



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Creatore: Karasulu, Bahadir Visualizza persona
Titolo: Performance Evaluation Software [electronic resource] : Moving Object Detection and Tracking in Videos / by Bahadir Karasulu, Serdar Korukoglu
Link to work: Performance evaluation software Visualizza cluster
Pubblicazione: New York, NY : Springer New York : Imprint : Springer, 2013
Estensione: XV, 76 p. 11 illus. digital.
Disciplina: 006.7
Titolo uniforme di collana: SpringerBriefs in computer science.
Classificazione LOC: QA76.575
Creatori/Collaboratori: Korukoglu, Serdar
Accesso ente: SpringerLink (Online service)
Nota di contenuto: Introduction -- Moving Object Detection and Tracking in Videos -- A Software Approach to Performance Evaluation -- Performance Measures and Evaluation -- A Case Study: People Detection and Tracking in Videos -- Conclusion.
Restrizioni accesso: Access restricted by licensing agreement.
Sommario/riassunto: 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, and ground-truth (GT) XML data files, charting/plotting capabilities, etc. Along with the comprehensive literature survey of the abovementioned video object D&T algorithms, this book also covers the technical details of our performance benchmark software as well as a case study on people D&T for the functionality of the software.
Collana: SpringerBriefs in Computer Science, 2191-5768
Opere correlate: Springer ebooks
ISBN: 9781461465348
Formato: Risorse elettroniche
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 11324073
Localizzazioni e accesso elettronico http://dx.doi.org/10.1007/978-1-4614-6534-8
Lo trovi qui: Yale University
Item: Permalink to OPAC
Altra ed. diverso supporto: Printed edition: 9781461465331