Resource Allocation for Lagrangian Tracking

Real-Time Resource Allocation for Tracking Systems

Automated tracking is key to many computer vision applications. However, many tracking systems struggle to perform in real-time due to the high computational cost of detecting people, especially in ultra high resolution images. We propose a new algorithm called PartiMax that greatly reduces this cost by applying the person detector only to the relevant parts of the image. PartiMax exploits info...

Efficient Resource Allocation for Sparse Multiple Object Tracking

In this work we address the multiple person tracking problem with resource constraints, which plays a fundamental role in the deployment of efficient mobile robots for real-time applications involved in Human Robot Interaction. We pose the multiple target tracking as a selective attention problem in which the perceptual agent tries to optimize the overall expected tracking accuracy. More specif...

Tracking Resource Allocation Cognitive Strategies for Strike Planning

Current procedures in the planning of Tomahawk Land Attack Missile (TLAM) strikes in the United States Navy require an operator (the Strike Coordinator) to match available missiles to preplanned missions. Such strike planning is essentially manual, with little help from any computerized tool or decision-support system. This causes high workload for the Strike Coordinator, and drastically increa...

Dynamic Resource Allocation by Ranking SVM for Particle Filter Tracking

Particle filtering is a Sequential Monte Carlo (SMC) technique to estimate the dynamic state given observations in a Bayesian framework. Although particle filter is useful to propagate a general posterior density function over time, but has critical limitations. A lot of observations are required to estimate the target state accurately, especially when a high dimensional state space is involved...

Resource Allocation in Distributed MIMO Radar for Target Tracking