Deep Counting Model Extensions with Segmentation for Person Detection
Ghosh S, Amon P, Hutter A, Kaup A (2019)
Publication Type: Conference contribution
Publication year: 2019
Journal
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2019-May
Pages Range: 2032-2036
Conference Proceedings Title: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Event location: Brighton
ISBN: 9781479981311
DOI: 10.1109/ICASSP.2019.8682662
Abstract
Applications like autonomous driving, surveillance, or any application that demands scene analysis requires object detection, semantic segmentation and instance segmentation. In this paper, we focus on the problem of detecting each instance of a specific category of objects, specifically persons. A novel method for object detection is proposed based on a deep counting model. The feature extractor of the deep counting model is extended with additional layers for segmenting specific instances. While the feature extractor of the deep counting model already focuses on the persons in the scene, the segmentation layers help to get a more accurate estimation of the foreground with persons and the instance segmentation is able to estimate separate instances of persons. Our proposed method outperforms other methods on the CUHK08 dataset with an Average Miss Rate (AMR) of 14% and on the PETS09 dataset with an AMR of 41%.
Authors with CRIS profile
Sanjukta Ghosh
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
Andre Kaup
Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)
How to cite
APA:
Ghosh, S., Amon, P., Hutter, A., & Kaup, A. (2019). Deep Counting Model Extensions with Segmentation for Person Detection. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 2032-2036). Brighton, GB: Institute of Electrical and Electronics Engineers Inc..
MLA:
Ghosh, Sanjukta, et al. "Deep Counting Model Extensions with Segmentation for Person Detection." Proceedings of the 44th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2019, Brighton Institute of Electrical and Electronics Engineers Inc., 2019. 2032-2036.
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