Integrated object tracking framework for range gated camera systems

2016-04-19
YAĞCIOĞLU, Mustafa
YELEN, Kuthan
Temizel, Alptekin
Range-gated imaging systems are active systems which use a high-power pulsed-light source and control the opening and closing times of the camera shutter in conjunction with the light source. By calculating the arrival time of the reflected light from the object, the camera shutter is opened for a short time period to form an image using the returned light. This allows generating high contrast images of the objects in difficult lighting conditions. On the other hand the object distance needs to be known and operators are expected to select the proper shutter timing to keep the object of interest continuously in the view. In order to automate this procedure, a tracking system needs to provide feedback to adjust camera shutter timing by estimating the distance of the object in addition to its horizontal and vertical position. In this paper, we present an object tracking framework integrated to the range-gated camera setup without resorting to an additional laser or radar based range finder unit even the object distance changes during the tracking. Range estimation is solely based on image processing and the distance of the object is estimated by the proposed algorithm with a number of similarity measurement methods. The performances of these methods are compared for various scenarios using the data acquired by the range-gated system setup.

Suggestions

A multimodal approach for individual tracking of people and their belongings
Beyan, Çiğdem; Temizel, Alptekin (2015-04-01)
In this study, a fully automatic surveillance system for indoor environments which is capable of tracking multiple objects using both visible and thermal band images is proposed. These two modalities are fused to track people and the objects they carry separately using their heat signatures and the owners of the belongings are determined. Fusion of complementary information from different modalities (for example, thermal images are not affected by shadows and there is no thermal reflection or halo effect in...
A Cloud Removal Algorithm to Generate Cloud and Cloud Shadow Free Images Using Information Cloning
Kalkan, Kaan; Maktav, M. Derya (Springer Science and Business Media LLC, 2018-08-01)
One of the main problems of optical remote sensing is clouds and cloud shadows caused by specific atmospheric conditions during data acquisition. These features limit the usage of acquired images and increase the difficulty in data analysis, such as normalized difference vegetation index values, misclassification, and atmospheric correction. Accurate detection and reliable cloning of cloud and cloud shadow features in satellite images are very useful processes for optical remote sensing applications. In thi...
New models and inference techniques for Gaussian process-based extended object tracking
Kumru, Murat; Özkan, Emre; Department of Electrical and Electronics Engineering (2022-9-09)
In this thesis, we consider the problem of tracking dynamic objects with unknown shapes using point cloud measurements generated by, e.g., lidars, radars, and depth cameras. The point measurements do not only convey information about the object pose, i.e., position and orientation, but they also naturally reveal the characteristics of its latent extent. Aiming to harness the full potential of the available information, we investigate the Gaussian process-based extended object tracking (GPEOT) framework. W...
Automatic target recognition and detection in infrared imagery under cluttered background
GÜNDOĞDU, ERHAN; KOÇ, AYKUT; Alatan, Abdullah Aydın (2017-09-14)
Visual object classification has long been studied in visible spectrum by utilizing conventional cameras. Since the labeled images has recently increased in number, it is possible to train deep Convolutional Neural Networks (CNN) with significant amount of parameters. As the infrared (IR) sensor technology has been improved during the last two decades, labeled images extracted from IR sensors have been started to be used for object detection and recognition tasks. We address the problem of infrared object ...
A Gamut-Mapping Framework for Color-Accurate Reproduction of HDR Images
SİKUDOVA, Elena; POULİ, Tania; ARTUSİ, Alessandro; Akyüz, Ahmet Oğuz; BANTERLE, Francesco; Mazlumoglu, Zeynep Miray; REİNHARD, Erik (2016-07-01)
An integrated gamut- and tone-management framework for color-accurate reproduction of high dynamic range images can prevent hue and luminance shifts while taking gamut boundaries into consideration. The proposed approach is conceptually and computationally simple, parameter-free, and compatible with existing tone-mapping operators.
Citation Formats
M. YAĞCIOĞLU, K. YELEN, and A. Temizel, “Integrated object tracking framework for range gated camera systems,” 2016, vol. 9846, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/29855.