W 4S is a real time visual surveillance system for detecting and tracking people and monitoring their activities in an outdoor environment by integrating realtime stereo computation into an intensitybased detection and tracking system. Unlike many systems for tracking people, W S makes no use of color cues. Instead, W S employs a combination of stereo, shape analysis and tracking to locate peop...

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...

This paper shows how the output of a number of detection and tracking algorithms can be fused to achieve robust tracking of people in an indoor environment. The new tracking system contains three co-operating parts: i) an Active Shape Tracker using a PCA-generated model of pedestrian outline shapes, ii) a Region Tracker, featuring region splitting and merging for multiple hypothesis matching, a...

The main challenges in large-scale people tracking are the recognition of people density in a specific area and tracking the people flow path. To address these challenges, we present SenseFlow, a lightweight people tracking system. SenseFlow utilises off-the-shelf devices which sniff probe requests periodically polled by user’s smartphones in a passive manner. We demonstrate the feasibility of ...

Abstract: Some people automatically and involuntarily ”see” mental images of numbers in spatial arrays when they think of numbers. This phenomenon, called number forms, shares three key characteristics with the other types of synaesthesiae, within-individual consistency, between-individual variety, and mixture of regularity and randomness. An experiment was conducted to investigate whether ment...

Over the years a number of powerful people detectors have been proposed. While it is standard to test complete detectors on publicly available datasets, it is often unclear how the di erent components (e.g. features and classi ers) of the respective detectors compare. Therefore, this paper contributes a systematic comparison of the most prominent and successful people detectors. Based on this e...

In this paper we give a new approach to the concepts of glyph and character, applied to the study of the Unicode encoding. After a thorough discussion of these two concepts, we describe the other fundamental ingredients of the encoding: privileged glyphs, character descriptions, combining characters, and properties. In each case we try to show the importance of the given notion and at the same ...

A picture is worth a thousand words. To take advantage of powerful human vision, we generate visualizations for people to view and to understand the underlying data. However, these a thousand words do not necessarily tell the truth about the data. A good visualization can make the data understanding process effective, while a bad visualization may hinder the process, even convey misleading info...

Inspite extensive research on visual tracking of multiple people in computer vision area, the robustness and usability of visual trackers are still discouraging. Recently, a few laser-based detection and tracking methods have been developed in robotics area. However, poor features provided by laser data make the tracker fail in many situations. In this paper, we present a novel method that aims...