Information Fusion consists of organizing a set of data for correlation in time, association
over multimodal collections, and estimation in space. There exist many methods for object …

We describe two advanced video analysis techniques, including video-indexed by voice
annotations (VIVA) and multi-media indexing and explorer (MINER). VIVA utilizes analyst …

The demand for a robust as well as a highly-available surveillance system with efficient
media sharing capability has considerably risen in recent times. In this regard, CCTV offers a …

A joint manifold learning fusion (JMLF) approach is proposed for nonlinear or mixed sensor
modalities with large streams of data. The multimodal sensor data are stacked to form joint …

The revision of the Joint Directors of the Laboratories (JDL) Information Fusion model in
2004 discussed information processing, incorporated the analyst, and was coined the Data …

Human-machine interaction mixed initiatives require a pragmatic coordination between
different systems. Context understanding is established from the content, analysis, and …

Recognizing activities in wide aerial/overhead imagery remains a challenging problem due
in part to low-resolution video and cluttered scenes with a large number of moving objects …

Vision algorithms face challenges of limited visual presentation and unreliability in
pedestrian activity assessment. In this article, we introduce LANDER, an interactive analysis …

With ubiquitous data acquired from sensors, there is an ever increasing ability to abstract
content from the combination of physics-based and human-derived information fusion …

This paper presents a Cloud-based architecture for detecting and tracking multiple moving
targets from airborne videos combined with the audio assistance, which is called Cloud …