150397 20251017144639.0 doi 10.1109/IROS45743.2020.9341600 sideral 142506 ART-2020-142506 eng Sabater, Alberto Universidad de Zaragoza Robust and efficient post-processing for video object detection 2020 Access copy available to the general public Unrestricted Object recognition in video is an important task for plenty of applications, including autonomous driving perception, surveillance tasks, wearable devices or IoT networks. Object recognition using video data is more challenging than using still images due to blur, occlusions or rare object poses. Specific video detectors with high computational cost or standard image detectors together with a fast post-processing algorithm achieve the current state-of-the-art. This work introduces a novel post-processing pipeline that overcomes some of the limitations of previous post-processing methods by introducing a learning-based similarity evaluation between detections across frames. Our method improves the results of stat-of-the-art specific video detectors, specially regarding fast moving objects, and presents low resource requirements. And applied to efficient still image detectors, such as YOLO, provides comparable results to much more computationally intensive detectors. info:eu-repo/grantAgreement/ES/DGA-FSE/T45-17R info:eu-repo/grantAgreement/ES/MCIU-AEI/RTC-2017-6421-7 info:eu-repo/grantAgreement/ES/MICIU-AEI-FEDER/PGC2018-098817-A-I00 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es 0.596 2020 Computer Science Applications 2020 Software 2020 Control and Systems Engineering 2020 Computer Vision and Pattern Recognition 2020 info:eu-repo/semantics/article info:eu-repo/semantics/submittedVersion Montesano, Luis Universidad de Zaragoza (orcid)0000-0003-1183-349X Murillo, Ana C. Universidad de Zaragoza (orcid)0000-0002-7580-9037 5007 520 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Ingen.Sistemas y Automát. 5007 570 Universidad de Zaragoza Dpto. Informát.Ingenie.Sistms. Área Lenguajes y Sistemas Inf. (2020), 10536-10542 Proc. IEEE/RSJ Int. Conf. Intell. Rob. Syst. Proceedings of the ... IEEE/RSJ International Conference on Intelligent Robots and Systems 2153-0858 2473992 http://zaguan.unizar.es/record/150397/files/texto_completo.pdf Versión publicada 3249760 http://zaguan.unizar.es/record/150397/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:150397 articulos driver 2025-10-17-14:30:52 ARTICLE