Abstract In this paper, we consider multi-sensor with partly overlapping field of view (FoV) in the labeled random finite set (L-RFS) framework. This is different from most existing tracking algorithms, where sensors are assumed to have same FoV. We describe FoV by modeling probability detection for individual whole observation area and can be seen as range all these using generalized multi-Ber...

An embedded monitoring network system is based on the visual principle of compound eye, which meets the acquirements in field angle, detecting efficiency, and structural complexity of panoramic monitoring network. Three fixed wide-angle cameras are adopted as sub-eyes, and a main camera is installed on a high-speed platform. The system ensures the continuity of tracking with high sensitivity an...

Non-overlapping field-of-view (FOV) cameras are used in surveillance system to cover a wider area. Tracking in such systems is generally performed in two distinct steps. In the first step, people are identified and tracked in the FOV of a single camera. In the second step, re-identification of the people is carried out to track them in the whole area under surveillance. Various conventional fea...

Light Detection and Ranging (LiDAR) is widely used in the perception of physical environment to complete object detection tracking tasks. The current methods datasets are mainly developed for autonomous vehicles, which could not be directly roadside perception. This paper presents a 3D point cloud stitching method with wide horizontal field view (FoV) using LiDAR. Firstly, base model trained by...

In this paper, we present a wide area surveillance system that detects, tracks and classifies moving objects across multiple cameras. At the single camera level, tracking is performed using a voting based approach that utilizes color and shape cues to establish correspondence. The system uses the single camera tracking results along with the relationship between camera field of view (FOV) bound...

The Periodically Rotated Overlapping ParallEL Lines with Enhanced Reconstruction (PROPELLER) method for magnetic resonance imaging data acquisition and reconstruction has the highly desirable property of being able to correct for motion during the scan, making it especially useful for imaging pediatric or uncooperative patients and diffusion imaging. This method nominally supports a circular fi...

Design and characterization of a high-performance multi-acuity, multi-window dynamically reconfigurable vision (DRV) CMOS imager for real-time staring vision systems is presented. By carrying out on-focal-plane image preprocessing, the imager chip simultaneously supports low-resolution large field-of-view (FOV) scan and high-resolution narrow FOV tracking. As a result, data bottleneck inherent ...

A compound eye and retina-like combination sensor based on a space-variant curved micro lens array (CMLA) is proposed to simultaneously offer the large FOV characteristic of a compound eye and retina-like feature of a single aperture eye. The mathematical models of the sensor are developed and the structure parameters of the space-variant CMLA are deduced. Modeling verification is carried out a...

Tracking people across multiple cameras with non-overlapping views is a challenging task, since their observations are separated in time and space and their appearances may vary significantly. This paper proposes a Bayesian model to solve the consistent labeling problem across multiple non-overlapping camera views. Significantly different from related approaches, ourmodel assumes neither people...

People Tracking is a problem of great interest for wide areas video surveillance systems. In these large areas, it is not possible for a single camera to observe the complete area of interest. Surveillance systems architecture requires algorithms with the ability to track objects while observing them through multiple cameras. We focus our work on multi camera tracking with non overlapping field...