Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A review on soccer player tracking techniques based on extracted features
Learning to Track and Identify Players from Broadcast Sports Videos
On-line selection of discriminative tracking features
A multidisciplinary approach to talent identification in soccer
Automatic soccer field line recognition by minimum information
Pose tracking by efficiently exploiting global features
Towards Real-Time Detection and Tracking of Basketball Players using Deep Neural Networks
Depth Silhouettes Context: A New Robust Feature for Human Tracking and Activity Recognition based on Advanced Hidden Markov Model
Fusion of AV features and external information sources for event detection in team sports video
Trajectory Analysis for Sport and Video Surveillance
Physiological Profile and Activity Pattern of Young Soccer Players during Match Play
Exposing forgeries in soccer images using geometric clues
Event detection in field sports video using audio-visual features and a support vector Machine
Learning Discriminative Motion Features Through Detection
iSports: A web-oriented expert system for talent identification in soccer
Predicting and Retrospective Analysis of Soccer Matches in a League
Object tracking in an outdoor environment using fusion of features and cameras
Wearable Audio and IMU Based Shot Detection in Racquet Sports
specificity of acceleration , maximum speed , and agility in professional soccer players .
Soccer: Who Has the Ball? Generating Visual Analytics and Player Statistics
Soccer Field Localization from a Single Image
Neuropathological diagnosis of vascular cognitive impairment and vascular dementia with implications for Alzheimer’s disease
Balancing trade-offs in test-suite reduction
an efficient implementation of reid ' s multiple hypothesis tracking algorithm and its evaluation for the purpose of visual tracking .
Integrating importance, non-redundancy and coherence in graph-based extractive summarization
One Million-Point FFT