HIGHLIGHTS
- who: Rafael Martín-Nieto and colleagues from the Video Processing and Understanding Laboratory (VPULab), Universidad Autónoma de Madrid, Madrid have published the research work: Enhancing Multi-Camera People Detection by Online Automatic Parametrization Using Detection Transfer and Self-Correlation Maximization, in the Journal: (JOURNAL)
- what: The authors propose a framework to adapt and improve any detector automatically in multi-camera scenarios where people are observed from various viewpoints. By accurately transferring detector results between camera viewpoints and by self-correlating these transferred results the best configuration (in this paper the detection threshold) for . . .
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