| Paper ID | IVMSP-2.1 | ||
| Paper Title | ENSEMBLING OBJECT DETECTORS FOR IMAGE AND VIDEO DATA ANALYSIS | ||
| Authors | Kateryna Chumachenko, Jenni Raitoharju, Tampere University, Finland; Alexandros Iosifidis, Aarhus University, Denmark; Moncef Gabbouj, Tampere University, Finland | ||
| Session | IVMSP-2: Object Detection 2 | ||
| Location | Gather.Town | ||
| Session Time: | Tuesday, 08 June, 13:00 - 13:45 | ||
| Presentation Time: | Tuesday, 08 June, 13:00 - 13:45 | ||
| Presentation | Poster | ||
| Topic | Image, Video, and Multidimensional Signal Processing: [IVARS] Image & Video Analysis, Synthesis, and Retrieval | ||
| IEEE Xplore Open Preview | Click here to view in IEEE Xplore | ||
| Abstract | In this paper, we propose a method for ensembling the outputs of multiple object detectors for improving detection performance and precision of bounding boxes on image data. We further extend it to video data by proposing a two-stage tracking-based scheme for detection refinement. The proposed method can be used as a standalone approach for improving object detection performance, or as a part of a framework for faster bounding box annotation in unseen datasets, assuming that the objects of interest are those present in some common public datasets. | ||