Limited research efforts have been made for Mobile CrowdSensing (MCS) to address quality
of the recruited crowd, ie, quality of services/data each individual mobile user and the whole …

This paper proposes a novel mobile crowdsensing (MCS) framework called EMC 3, which
intends to reduce energy consumption of individual user as well as all participants in data …

Surveillance, management and estimation of spontaneous crowd formations in urban
environments, eg, during open-air festivals or rush hours, are necessary measures for city …

Task assignment is a fundamental research problem in mobile crowdsensing (MCS) since it
directly determines an MCS system's practicality and economic value. Due to the complex …

This paper presents a target tracking framework for unstructured crowded scenes.
Unstructured crowded scenes are defined as those scenes where the motion of a crowd …

High-fidelity pedestrian tracking in real-life conditions has been an important tool in
fundamental crowd dynamics research allowing to quantify statistics of relevant observables …

Autonomous unmanned aerial vehicles (UAVs) are essential for detecting and tracking
specific events, such as automatic navigation. The intelligent monitoring of people's social …

Crowdsourcing-based mobile applications are becoming more and more prevalent in recent
years, as smartphones equipped with various built-in sensors are proliferating rapidly. The …

Standardized benchmarks are crucial for the majority of computer vision applications.
Although leaderboards and ranking tables should not be over-claimed, benchmarks often …

Smart devices with a rich set of low-cost sensors enable a new sensing paradigm called
mobile crowdsensing. In mobile crowdsensing, tasks are distributed at a variety of locations …