This paper presents three-dimensional (spatio-temporal) Kalman filters for video as the extension of the two-dimensional (2-D) reduced update Kalman filter (RUKF) approach for images. We start out with three-dimensional (3-D) RUKF, a shift-invariant recursive estimator with efficiency advantages over the 3-D Wiener filter. Then, we turn to the motion-compensated extension MC-RUKF, which gives i...

Membership testing is the problem of testing whether an element is in a set of elements. Performing the test exactly is expensive space-wise, requiring the storage of all elements in a set. In many applications, an approximate testing that can be done quickly using small space is often desired. Bloom filter (BF) was designed and has witnessed great success across numerous application domains. B...

Visual perception generally improves under brighter environments. For instance, motion sensitivity is known to improve with luminance intensity especially at high temporal frequencies. However, the current study counter-intuitively shows that increasing luminance intensity can impair motion sensitivity in noise. Motion sensitivity was measured with and without noise added to a drifting Gabor pa...

Auditory filter theory posits a tradeoff in time-frequency analysis: high temporal precision is achievable only at the expense of poorer frequency resolution and vice versa. Here, we examined the hierarchy of brain mechanisms of these spectrotemporal tradeoffs through a series of physiological and behavioral measures aimed to tap temporal and spectral acuity at different levels of the auditory ...

In this paper, a new frequency-based approach to motion segmentation is presented. The proposed technique represents the sequence as a spatio-temporal volume, where a moving object corresponds to a three-dimensional object. In order to detect the “3D volumes” corresponding to significant motions, a new scheme based on a band-pass filtering with a set of logGabor spatio-temporal filters is used....

GNSS signal processing involving BOC modulations requires tracking techniques able to provide unambiguous code tracking with reduced losses in the signal quality. Space-time processing techniques have the potential of combining the advantages of temporal equalization, for unambiguous tracking, and spatial processing for improved signal quality. In this paper, the use of space-time processing fo...

Cross-correlation of complex, picosecond-range, temporal shapes is demonstrated experimentally with the help of a filter recorded in an organic spectral hole-burning material.

Robust real-time tracking of non-rigid objects is a challenging task. Particle filtering has proven very successful for non-linear and nonGaussian estimation problems. The article presents the integration of color distributions into particle filtering, which has typically been used in combination with edge-based image features. Color distributions are applied, as they are robust to partial occl...

This article presents an experimental study of the influence of velocity adaptation when recognizing spatio-temporal patterns using a histogram-based statistical framework. The basic idea consists of adapting the shapes of the filter kernels to the local direction of motion, so as to allow the computation of image descriptors that are invariant to the relative motion in the image plane between ...

The optomotor response (OMR) is a simple experimental paradigm that is widely used in the study of visual system functions. In the current paper we investigated how spatial and temporal properties of repetitive stimuli determine the OMR in zebrafish. The experiments showed that the OMR has the temporal characteristic of a low-pass filter when the spatial frequencies are low and of a band-pass f...