Multi-object Tracking in Aerial Image Sequences using  Aerial Tracking Learning and Detection Algorithm

Vindhya P. Malagi; Ramesh Babu D.R.; Krishnan Rangarajan

doi:10.14429/dsj.66.8972

Vindhya P. Malagi Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru
Ramesh Babu D.R. Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru
Krishnan Rangarajan Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru

DOI: https://doi.org/10.14429/dsj.66.8972

Keywords: Aerial images, tracking, learning, detection, minimum distance cue, object tracking

Abstract

Vison based tracking in aerial images has its own significance in the areas of both civil and defense applications. A novel algorithm called aerial tracking learning detection which works on the basis of the popular tracking learning detection algorithm to effectively track single and multiple objects in aerial images is proposed in this study. Tracking learning detection (TLD) considers both appearance and motion features for tracking. It can handle occlusion to certain extent, and can work well on long duration video sequences. However, when objects are tracked in aerial images taken from platforms like unmanned air vehicle, the problems of frequent pose change, scale and illumination variations arise adding to low resolution, noise and jitter introduced by motion of the camera. The proposed algorithm incorporates compensation for the camera movement, algorithmic modifications in combining appearance and motion cues for detection and tracking of multiple objects and enhancements in the form of inter object distance measure for improved performance of the tracker when there are many identical objects in proximity. This algorithm has been tested on a large number of aerial sequences including benchmark videos, TLD dataset and many classified unmanned air vehicle sequences and has shown better performance in comparison to TLD.

Author Biographies

Vindhya P. Malagi, Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru

Ms Vindhya P. Malagi received her BE (Electronics and Communication Engineering) from gulbarga University and MTech from Visweswaraya Technological University, India. She is currently pursuing her PhD in Computer Vision and Image Processing from Visvesvaraya Technological University, India. She is currently working as an Assistant Professor at Dayananda Sagar College of Engineering, Bangalore, India. Her current research interests include : Computer vision, image processing and pattern recognition.

Ramesh Babu D.R., Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru

Dr Ramesh Babu D.R. received his BE (Instrumentation Technology) and MTech (Industrial Technology) from University of Mysore, India, in 1996 and 1999 respectively. And PhD (Computer Science – Image Processing) from University of Mysore, India. Currently working as a Professor and Head of Computer Science and Engineering department at Dayananda Sagar College of Engineering, Bengaluru. His current research interests include : Medical image processing, computer vision and pattern recognition.

Krishnan Rangarajan, Computer Science and Engineering Department, Dayananda Sagar College of Engineering, Bengaluru

Dr Krishnan Rangarajan received his BE (H) (Mechanical Engineering) and MTech (Computer Science) from REC Tiruchirapalli, India and IIT Delhi, India, in 1983 and 1985 respectively. And PhD (Computer Science) from University of Central Florida, Orlando, USA, in 1990. Currently working as a Professor in Computer Science and Engineering department at Dayananda Sagar College of Engineering, Bangalore, India. His current research interests include : Object tracking in the field of computer vision and pattern recognition and software testing.