Abstract Experiments are increasingly moving online. This poses a major challenge for researchers who rely on in-lab techniques such as eye-tracking. Researchers in computer science have developed web-based eye-tracking applications (WebGazer; Papoutsaki et al., 2016) but they yet to see them used behavioral research. is likely due the extensive calibration and validation procedure, inconsisten...

Visual can be easily disturbed by similar surrounding objects. Such objects as hard distractors, even though being the minority among negative samples, increase risk of target drift and model corruption, which deserve additional attention in online tracking update. To enhance robustness, this paper, we propose a cascaded regression tracker with two sequential stages. In first stage, filter out ...

Notes: Dr Sherria Hoskins is a Senior Lecturer in psychology at the University of Portsmouth. Her research focuses on social cognitive aspects of learning and professional development across the lifespan, particularly the relationship between motivation, learning environment and academic success. Dr Johanna van Hooff is a Senior Lecturer in psychology at the University of Portsmouth. Her resear...

Visual tracking in mobile robots have to track various target objects in fast processing, but existing state-ofthe-art methods only use specific image feature which only suitable for certain target objects. In this paper, we proposed new approach without depend on specific feature. By using deep learning, we can learn essential features of many of the objects and scenes found in the real world....

Robust online multi-person tracking requires the correct associations of online detection responses with existing trajectories. We address this problem by developing a novel appearance modeling approach to provide accurate appearance affinities to guide data association. In contrast to most existing algorithms that only consider the spatial structure of human appearances, we exploit the tempora...

Despite impressive growth in banner advertising budgets, doubts persist amongst practitioners about the effectiveness of banner advertising and the techniques used to measure it. A number of approaches such as click-throughs, mouse rollovers and eyetracker studies have been developed to measure the banner ad effectiveness. We argue that banner ad effectiveness can also be determined by measurin...