Perception Sensor for a Mobile Robot

Hou, K.M.; Belloum, Adam; Yao, Erliang; Meribout, Mahmoud; Tu, Xiaowei; Trihandoyo, Agus; Li, K.; Park, Y.H.; Mayorquim, J.L.

doi:10.1016/s1474-6670(17)47574-4

Cited by 1 publication

(1 citation statement)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…An extensive survey of shape matching in computer vision can be found in [1,2]. In [15], a real-time gradientbased segmentation hardware algorithm was developed to match edge detection and line approximation results with motion segmentation. Hence, neighboring pixels having a similar gradient direction are grouped in a same line.…”

Section: Some Previous Work On Active Video Object Segmentation and mentioning

confidence: 99%

A New Real Time Object Segmentation and Tracking Algorithm and its Parallel Hardware Architecture

Meribout

Nakanishi

2005

J VLSI Sign Process Syst Sign Image Video Technol

View full text Add to dashboard Cite

Most of the emerging content-based multimedia technologies are based on efficient methods to solve machine early vision tasks. Among other tasks, object segmentation is perhaps the most important problem in single image processing. The solution of this problem is the key technology of the development of the majority of leading-edge interactive video communication technology and telepresence systems. The aim of this paper is to present a robust framework for real-time object segmentation and tracking in video sequences taken simultaneously from different perspectives. The other contribution of the paper is to present a new dedicated parallel hardware architecture. It's composed of a mixture of Digital Signal Processing (DSP) and Field Programmable Gate Array (FPGA) technologies and uses the Content Addressable Memory (CAM) as a main processing unit. Experimental results indicate that small amount of hardware can deliver real-time performance and high accuracy. This is an improvement over previous systems, where execution time of the second-order using a greater amount of hardware has been proposed.

show abstract

Section: Some Previous Work On Active Video Object Segmentation and mentioning

confidence: 99%