Lista publikacji

object detection

1. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Pedestrian detection for automotive night vision,” Proc. of the Annual Evaluation Workshop of the thematic Network on Dependable Cyber Physical Systems (DCPS), Cottbus, Niemcy, 2015, 25, pp. 64-69, 2016.
night vision, video processing, object detection, classifier, automotive, image segmentation Bibtex

2. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Performance of object classiication or detection of pedestrians,” Final Evaluation Workshop of the thematic Network on Dependable Cyber Physical Systems DCPS, Cottbus, Germany, November 25th, 2016, 25, pp. 30-34, 2016.
night vision, video processing, object detection, multi-branch classifier, pedestrians, Adaboost classifier, histogram of orinted gradients Bibtex

3. K. Piniarski, P. Pawłowski, “Multi-branch classifiers for pedestrian detection from infrared night an day images,” IEEE SPA 2016, Signal Processing Algorithms, Architectures, Arrangements and Applications, 21-23 września 2016, Poznań, 21-23, pp. 248-253, 2016.
night vision, video processing, object detection, multi-branch classifier, pedestrians, Adaboost classifier, histogram of oriented gradiens Bibtex

4. P. Pawłowski, K. Piniarski, A. Dąbrowski, “Pedestrian Detection in Low Resolution Night Vision Images,” IEEE International Conference on Signal Processing Algorithms, Architectures, Arrangements and Applications (SPA 2015), Poznań, 23-25 września 2015, pp. 185-190, 2015.
night vision, video processing, object detection, classifier, pedestrian, low resolution, support vector machine, histogram of oriented gradients Bibtex PDF

5. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Video Processing Algorithms for Detection of Pedestrians,” Computational Methods in Science and Technology, vol. 21, pp. 141-150, 2015.
video processing, night vision, object detection, classification of pedestrians, automotive systems Bibtex PDF

6. J. Balcerek, A. Konieczka, T. Marciniak, A. Dąbrowski, K. Maćkowiak, K. Piniarski, “Automatic detection of traffic lights changes from red to green and car turn signals in order to improve urban traffic,” IEEE SPA 2014, Signal Processing Algorithms, Architectures, Arrangements and Applications, 22-24 września 2014, Poznań, 22-24.09.2014, pp. 110-115, 2014.
traffic, ligths detection, turn signal detection, traffic improvement, video processing, object detection Bibtex

7. K. Piniarski, P. Pawłowski, A. Dąbrowski, “Pedestrian Detection by Video Processing in Automotive Night Vision System,” IEEE SPA 2014, Signal Processing Algorithms, Architectures, Arrangements and Applications, 22-24 września 2014, Poznań, 22-24.09.2014, pp. 104-109, 2014.
night vision, video processing, object detection, classifier, automotive Bibtex

8. A. Stankiewicz, T. Marciniak, A. Dąbrowski, M. Stopa, P. Rakowicz, E. Marciniak, “Methods for improving precision of automatic image segmentation in OCT biometric interfaces (in Polish),” XV Krajowa Konferencja Elektroniki, Darłówko Wschodnie, 6-10, pp. 345-353, 2016.
optical coherence tomography (OCT), denoising and image segmentation, anisotropic diffusion, wavelet thresholding Bibtex PDF