This paper presents a 64×64 pixel micro-bolometer based temporal contrast IR sensor. The pixels of the sensor independently and asynchronously respond to changes in thermal IR radiation and communicate respective events via arbitrated AER. A 46dB-gain, small-area, ultra low-power, low-mismatch differencing switched-capacitor amplifier has been designed for reading out the bolometer front-end. T...

This paper proposes a technique for the unsupervised detection and tracking of arbitrary objects in videos. It is intended to reduce the need for detection and localization methods tailored to specific object types and serve as a general framework applicable to videos with varied objects, backgrounds, and image qualities. The technique uses a dependent Dirichlet process mixture (DDPM) known as ...

This paper describes a CMOS vision sensor which is inspired by biological visual systems. Each pixel independently and in continuous time quantizes local relative intensity changes to generate spike events. These events appear at the output of the sensor as an asynchronous stream of digital pixel addresses. These address-events signify scene reflectance change and have sub-millisecond timing pr...

Tropospheric heterogeneity can lead to misinterpretation of differential radar interferometric results. A betweensite and between-epoch double-differencing algorithm for the derivation of tropospheric corrections to radar results using GPS measurements is proposed. In order to correct the radar result on a pixel-by-pixel basis, the GPS-derived corrections have to be interpolated. Using the GPS ...

Change detection is an important part of image interpretation and automated geographical data collection. There are several approaches to change detection, from image differencing to Principal Component Analysis. One of the techniques that offer best results is Iterative Principal Component Analysis (IPCA). In this paper we present some modifications to IPCA that improves its performance. In pa...

Background subtraction is one of the fundamental problems where its solutions can be applied to the other segmentation problems as well. The reported techniques often rely on intensity information to differentiate background pixels from the foreground ones without consider any relation between pixels. To improve the differentiation ability, this paper introduces additional information to be use...

Procedural texture mapping is a powerful technique, and use of the Perlin noise function makes procedural textures appear so realistic and interesting. It is also an expensive technique, and executing a texturing procedure on a per-pixel basis is costly, and usually prevents the method from being used in real time applications. In this paper, we present a method for computing the Perlin noise f...

This paper describes an end-to-end method for extracting moving targets from a real-time video stream, classifying them into predefined categories according to imagebased properties, and then robustly tracking them. Moving targets are detected using the pixel wise difference between consecutive image frames. A classification metric is applied these targets with a temporal consistency constraint...

where rrs xt is the result of applying non-seasonal differencing of order d and seasonal differencing of seasonality s and order D to the series xt, as outlined in the description of G13AAF. The differenced series is then of length N 1⁄4 n d0, where d0 1⁄4 dþ D s ð Þ is the generalized order of differencing. The scalar c is the expected value of the differenced series, and the series w1; w2; . ...