Generating Predictions Non-consciously: Evidence from Invisible Motion with andwithout Obstacles

Previous research has established that conscious stimuli can lead to non-conscious predictions. Yet, it also suggeststhat conscious awareness of stimuli is a necessary condition for using them in predictions. We use subliminal movement – withand without obstacles – to examine predictions from subliminal stimuli. In four experiments, a moving object was masked withcontinuous flash suppression. After the object had stopped moving, a conscious probe appeared in a location that was eitherconsistent with the movement or not. In the first three experiments the movement was linear, and non-conscious predictionswere based on both direction and speed of movement. In Experiment 4, the moving object collided with an obstacle. Responsetimes revealed predictions on the deflection route. We thus conclude that humans can use dynamic subliminal information togenerate active predictions about the futur

Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary

Kernel-based trackers aggregate image features within the support of a kernel (a mask) regardless of their spatial structure. These trackers spatially fit the kernel (usually in location and in scale) such that a function of the aggregate is optimized. We propose a kernel-based visual tracker that exploits the constancy of color and the presence of color edges along the target boundary. The tracker estimates the best affinity of a spatially aligned pair of kernels, one of which is color-related and the other of which is object boundary-related. In a sense, this work extends previous kernel-based track-ers by incorporating the object boundary cue into the track-ing process and by allowing the kernels to be affinely trans-formed instead of only translated and isotropically scaled. These two extensions make for more precise target local-ization. Moreover, a more accurately localized target facil-itates safer updating of its reference color model, further enhancing the tracker’s robustness. The improved tracking is demonstrated for several challenging image sequences. 1

Predictions from masked motion with and without obstacles.

Predicting the future is essential for organisms like Homo sapiens, who live in a dynamic and ever-changing world. Previous research has established that conscious stimuli can lead to non-conscious predictions. Here we examine whether masked stimuli can also induce such predictions. We use masked movement-with and without obstacles-to examine predictions from masked stimuli. In six experiments a moving object was masked using continuous flash suppression (CFS). A few hundred milliseconds after the object had disappeared, a conscious probe appeared in a location that was either consistent with the masked stimulus or not. In Experiments 1-3 the movement was linear, and reaction times (RTs) indicated predictions that were based on direction and speed of movement. In Experiment 4, the masked moving object collided with an obstacle and then disappeared. Predictions in this case should reflect deflection, and indeed reaction times revealed predictions on the deflection route. In Experiments 5 and 6 we introduce an innovative way of using eye-tracking during continuous flash suppression (CFS) and report physiological evidence-in the forms of eye-movements-for masked stimuli induced predictions. We thus conclude that humans can use dynamic masked stimuli to generate active predictions about the future, and use these predictions to guide behavior. We also discuss the possible interpretations of these findings in light of the current scientific discussion regarding the relation between masked presentation, subliminal perception and awareness measurement methods