in this paper, we present a genetic algorithm (ga) for optimization of a multi-mode resource constrained time cost trade off (mrctct) problem. the proposed ga, each activity has several operational modes and each mode identifies a possible executive time and cost of the activity. beyond earlier studies on time-cost trade-off problem, in mrctct problem, resource requirements of each execution mo...

The improvements in disk speeds have not kept up with improvements in processor and memory speeds. Conventional storage techniques, in the face of multi-media data, are ineecient and/or inadequate. Here, an eecient multimedia object allocation strategy is presented. We describe a multimedia object model, the object and storage device characteristics, and the fragmentation strategy. A bipartite ...

The challenges in multi-object tracking mainly stem from the random variations cardinality and states of objects during process. Further, information on locations where appear, their detection probabilities, statistics sensor’s false alarms significantly influence accuracy filter. However, this is usually assumed to be known provided by users. In paper, we propose an adaptive generalized labele...

VRML (Virtual Reality Modeling Language) is getting popular on Internet. VRML version 2.0 provides the functions of changing the scenes. Advanced applications of VRML version 2.0 are multi-user spaces. We can be aware of each other in the multi-user spaces. Real time data make 3D CG (Computer Graphics) spaces much richer worlds. However, current style multi-user spaces use only the current loca...

Abstract Although many state-of-the-art methods of object detection in a single image have achieved great success the last few years, they still suffer from false positives crowd scenes real-world applications like automatic checkout. In order to address limitations single-view complex scenes, we propose MVDet, an end-to-end learnable approach that can detect and re-identify multi-class objects...

This paper addresses the density based multi-sensor cooperative fusion using random finite set (RFS) type multi-object densities (MODs). Existing methods use scalar weights to characterize relative information confidence among local MODs, and in this way portion of contribution each MOD fused global can be tuned via adjusting these weights. Our analysis shows that mechanism a coefficient oversi...

It is an emerging trend to build large information systems in a component-based fashion where the components follow the concept of object. Applications are constructed by organizing pre-built objects such that they cooperate with each other to perform some task. However, considerable programming e ort is required to express multi-object constraints in terms of the traditional message-passing me...

in this paper, an interactive model for individual normal behaviour of drivers is presented in which the mutual effect of vehicles has been incorporated. temporal features obtained from vehicles tracking and their motion history is utilized for generating a model of normal behaviour. because of non-stationarity of behaviour, hidden markov model has been used for interactive model. this model ha...

In this project, we would like to develop multi-object pose and model estimation which uses the 3D voxelized model and foreground background segmentation to detect 3D pose and model variation. In the relevant literature, [4], the authors used gradient descent to minimize the optimization energy function which is the integration over image multiplied by the smoothed step function of SDF of 3D mo...