Honours projects in 2015

Tracking multiple objects with UAV and 360º cameras

Prerequisites: Coding skills in C/C++ are required, knowledge of MATLAB a plus

The Reconfigurable Computing Lab is offering two related honours research projects that involve collecting video data with a quad-copter mounted camera or with a 360º Bublcam for use in multi-object tracking. Visual tracking systems work by adaptively learning an object’s position, velocity and shape. The following video demonstrates the capabilities of the CACTuS-FL visual tracker:

Projects:

Panormamic vision: tracking multiple objects with a 360º camera
New data sets for visual tracking will be obtained using a 360º (full spherical) field of view Bublcam (http://www.bublcam.com). The project involves collecting positional and video data, interfacing with the camera via its API, generating ground truth annotations (e.g. bounding boxes around each object of interest), and applying multi-object tracking software to the data. An additional objective will be the development of new semi-automated ground truth annotation tools.
Video Deblurring for Unmanned Aerial Vehicles
Video captured from unmanned aerial vehicles (UAVs) often suffers from motion blur due to movement (see [1] for examples). The objective for this project is to investigate motion deblur and video stabilisation techniques for UAVs. The student will initially be provided with a pre-recorded video captured on a UAV and will apply deblurring algorithms such as [2] to improve video quality. The student will then apply the deblurring algorithm to an off-the-shelf quad-copter and a head mounted display in order to demonstrate an improved First-person view (FPV) video.
 [1]   Jinhai Cai, and Ivan Lee, “The stitching of aerial videos from UAVs,” 2013 28th International Conference of Image and Vision Computing New Zealand (IVCNZ), pp.448-452, 27-29 Nov. 2013 doi: 10.1109/IVCNZ.2013.6727056
[2]   Sunghyun Cho, Jue Wang, and Seungyong Lee, “Video deblurring for hand-held cameras using patch-based synthesis.” ACM Transactions on Graphics (TOG) 31.4 (2012): 64