Traditional walkers are commonly used for the elderly in social life, which solves basic problem of walking, but it is difficult to ensure safety when a fall occurs, and human-computer interaction poor. The image recognition method or IMU sensor fixed on user, such as wearable watch, by most current detection methods. Wearable sensors require user’s wearing operation, little troublesome,...

We have recently introduced Learn++ as an incremental learning algorithm capable of learning additional data that may later become available. The strength of Learn++ lies with its ability to learn new data without forgetting previously acquired knowledge and without requiring access to any of the previously seen data, even when the new data introduce new classes. Learn++, inspired in part by Ad...

A necessary first step in the fusion of data from a number of different remote sensors is the correction of the systematic geometric distortion characteristic of each sensor followed by a precision registration to remove any residual random offsets. This paper describes our approach to automated multisensor registration. The effects of spatially, temporally and spectrally varying factors which ...

Remote driving is a difficult task, primarily because operators have problems understanding the remote environment and making control decisions. To make remote driving easier and more productive, we are developing sensor fusion techniques using range sensors to build active, sensor fusion based interfaces. In our work, we use sensor fusion to facilitate human perception and to enable efficient ...

Image Fusion, a technique which combines complimentary information from different images of the same scene so that the fused image is more suitable for segmentation, feature extraction, object recognition and Human Visual System. In the proposed thesis work, a fast and efficient algorithm based on wavelet transform for multi-sensor image data has been proposed that could retrieve the prime feat...

The real-time manned-unmanned teaming of on-the-move Army assets will provide mobile commanders and warfighters with improved situation awareness from the sharing and fusion of heterogeneous distributed data sources information. Lockheed Martin Advanced Technology Laboratories (ATL) is improving situation awareness through three ATL-developed technologies: adaptive, modular, multisensor informa...

Data fusion and the analysis of high-dimensional multisensor data, are fundamental tasks in many research diciplines. In this work we propose a unified embedding scheme for multi sensory data, which is based on the recently introduced diffusion framework. Our scheme is purely data-driven and assumes no a-priory knowledge of the underlying statistical or deterministic models of the different dat...

Automatic tree crown segmentation from remote sensing data is especially challenging in dense, diverse, and multilayered tropical forest canopies, tracking mortality by this approach even more difficult. Here, we examine the potential for combining airborne laser scanning (ALS) with multispectral hyperspectral to improve accuracy of at a study site French Guiana. We combined an ALS point cloud ...