| 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 |
| Virtual Presentation |
Click here to watch in the Virtual Conference |
| 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. |
