Trade-off between resolution and frame rate of visual tracking of mini-robots on an experimental planar platform

2020 ◽  
Vol 16 (2) ◽  
pp. 123-135
Author(s):  
Martin Juřík ◽  
Václav Šmídl ◽  
František Mach
Keyword(s):  
2016 ◽  
Vol 25 (05) ◽  
pp. 1640003 ◽  
Author(s):  
Yoav Liberman ◽  
Adi Perry

Visual tracking in low frame rate (LFR) videos has many inherent difficulties for achieving accurate target recovery, such as occlusions, abrupt motions and rapid pose changes. Thus, conventional tracking methods cannot be applied reliably. In this paper, we offer a new scheme for tracking objects in low frame rate videos. We present a method of integrating multiple metrics for template matching, as an extension for the particle filter. By inspecting a large data set of videos for tracking, we show that our method not only outperforms other related benchmarks in the field, but it also achieves better results both visually and quantitatively, once compared to actual ground truth data.


2021 ◽  
Author(s):  
Abdul Rozak Rivai Fassah ◽  
Tigran Mkhoyan ◽  
Coen C. de Visser

2017 ◽  
Vol 13 (10) ◽  
pp. 505-513
Author(s):  
Ahmad Abdel Jabbar Ahmad Mazhar ◽  
Ayman Mahmoud Aref Abdalla
Keyword(s):  

1982 ◽  
Vol 14 (2) ◽  
pp. 109-113 ◽  
Author(s):  
Suleyman Tufekci
Keyword(s):  

2012 ◽  
Vol 11 (3) ◽  
pp. 118-126 ◽  
Author(s):  
Olive Emil Wetter ◽  
Jürgen Wegge ◽  
Klaus Jonas ◽  
Klaus-Helmut Schmidt

In most work contexts, several performance goals coexist, and conflicts between them and trade-offs can occur. Our paper is the first to contrast a dual goal for speed and accuracy with a single goal for speed on the same task. The Sternberg paradigm (Experiment 1, n = 57) and the d2 test (Experiment 2, n = 19) were used as performance tasks. Speed measures and errors revealed in both experiments that dual as well as single goals increase performance by enhancing memory scanning. However, the single speed goal triggered a speed-accuracy trade-off, favoring speed over accuracy, whereas this was not the case with the dual goal. In difficult trials, dual goals slowed down scanning processes again so that errors could be prevented. This new finding is particularly relevant for security domains, where both aspects have to be managed simultaneously.


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