We present an algorithm for tracking many objects observed with distributed, non-overlapping sensors. Our method is derived from a proposition that the observations of some constant, intrinsic properties of an object form a cluster (eg. in the color space). However sensors also provide dynamic data about an object like time and location. Tracking is achieved by probabilistic clustering of obser...

In this paper, a supervised video object segmentation algorithm using a small number of interactions is proposed. The proposed algorithm is composed of three steps: semi-automatic first frame segmentation, automatic object tracking and boundary refinement. Homogeneous region segmentation is performed before the user interaction for the first frame to minimize the amount of interaction. Then, a ...

In this letter, a precise error-tracking scheme for robust transmission of real-time H.263 video is presented. By utilizing a feedback channel, the decoder reports the addresses of corrupted blocks induced by transmission errors back to the encoder. With these negative acknowledgments, the encoder can precisely calculate and track the propagated errors by examining the backward motion dependenc...

The area of distributed monitoring requires tracking the value of a function of distributed data as new observations are made. An important case is when attention is restricted to only a recent time period, such as the last hour of readings—the sliding window case. In this announcement, we outline a novel paradigm for handling such monitoring problems, which we dub the “forward/backward” approa...

The weakly electric glass knifefish, Eigenmannia virescens, will swim forward and backward, using propulsion from an anal ribbon fin, in response to motion of a computer-controlled moving refuge. Fish were recorded performing a refuge-tracking behavior for sinusoidal (predictable) and sum-of-sines (pseudo-random) refuge trajectories. For all trials, we observed high coherence between refuge and...

This paper presents a method for video sequence coding, using motion estimation over a triangular object-based mesh. We introduce a novel “crack line” notion to deal with motion discontinuities and to improve representation scalability. The optimization of the nodal motion vectors is performed by means of a multi-resolution differential method, further improved by “backward in forward” tracking...

For timed event graphs, linear models were obtained using dioid algebra. After describing backward equations which solve an optimal tracking problem and which introduce co-state variables, this paper presents preliminary results concerning the matrix of ‘ratios’ (i.e. conventional differences) of co-states over states: this matrix sounds like a Riccati matrix, although a neat analogue to a Ricc...

A lattice-ladder adaptive decorrelation filtering (ADF) algorithm is proposed with the aim of developing a more efficient co-channel speech separation system. It is shown that based on the joint forward and backward linear predictions, a lattice-ladder structure can be derived for ADF. Experimental results show that the proposed algorithm is effective in reducing cross-interference between co-c...

Wang and Adelson [1] proposed the layer representation as a convenient representation for video coding, format conversion and special effects. We present a technique to extract the near optimal layer representation of an image sequence using the EM algorithm. We incorporate forward / backward motion estimation to obtaina sharp segmentation in the presence of occlusion and uncovering. We demonst...

Due to the chaotic nature of atmospheric dispersion, small deviations, e.g., numerical errors in dispersion simulations, increase rapidly over time. Therefore, the accuracy of backward simulations is limited. In the paper, the degree of the fulfillment of time-reversibility over different time periods is investigated by a Lagrangian dispersion model at a global scale using pollutant clouds cons...