Visual tracker fusion and outlier detection on thermal image sequences
S Thome, N Scherer-Negenborn… - Electro-Optical Remote …, 2018 - spiedigitallibrary.org
Visual object tracking is a challenging task in computer vision, especially if there are no
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …
Comparing visual tracker fusion on thermal image sequences
S Thome, N Scherer-Negenborn… - 2018 21st International …, 2018 - ieeexplore.ieee.org
Visual object tracking is a challenging task in computer vision, especially if there are no
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …
constraints to the scenario and the objects are arbitrary. The number of tracking algorithms is …
Thermal infrared and visible sequences fusion tracking based on a hybrid tracking framework with adaptive weighting scheme
C Luo, B Sun, K Yang, T Lu, WC Yeh - Infrared Physics & Technology, 2019 - Elsevier
Object tracking based on single sensor image sequences is now proved to be insufficient
when facing complex challenging factors such as occlusions, background clutter …
when facing complex challenging factors such as occlusions, background clutter …
Object tracking by oversampling local features
F Pernici, A Del Bimbo - IEEE transactions on pattern analysis …, 2013 - ieeexplore.ieee.org
In this paper, we present the ALIEN tracking method that exploits oversampling of local
invariant representations to build a robust object/context discriminative classifier. To this …
invariant representations to build a robust object/context discriminative classifier. To this …
Mad for visual tracker fusion
S Becker, SB Krah, W Hübner… - Optics and Photonics for …, 2016 - spiedigitallibrary.org
Existing tracking methods vary strongly in their approach and therefore have different
strengths and weaknesses. For example, a single tracking algorithm may be good at …
strengths and weaknesses. For example, a single tracking algorithm may be good at …
SETh: the method for long-term object tracking
The article presents a novel long-term object tracking method called SETh. It is an adaptive
tracking by detection method which allows near real-time tracking within challenging …
tracking by detection method which allows near real-time tracking within challenging …
Pixel based object tracking
Number of approaches has been proposed for object tracking in last few years towards
increasing performance of computer vision systems. In this paper we propose a tracker …
increasing performance of computer vision systems. In this paper we propose a tracker …
Tracking objects with co‐occurrence matrix and particle filter in infrared video sequences
Tracking objects in infrared video sequences became a very important challenge for many
current tracking algorithms due to several complex situations such as illumination variation …
current tracking algorithms due to several complex situations such as illumination variation …
[PDF][PDF] A Review of Tracking Methods under Occlusions.
Z Zhang, M Piccardi - MVA, 2007 - lix.polytechnique.fr
Object tracking in computer vision refers to the task of tracking individual moving objects
accurately from one frame to another in an image sequence. Several tracking methods have …
accurately from one frame to another in an image sequence. Several tracking methods have …
A thermal object tracking benchmark
Short-term single-object (STSO) tracking in thermal images is a challenging problem
relevant in a growing number of applications. In order to evaluate STSO tracking algorithms …
relevant in a growing number of applications. In order to evaluate STSO tracking algorithms …