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Dahua Technology TRK Method ranked #1 with a multi-object tracking accuracy (MOTA) of 54.1±13.0%

Dahua Technology TRK Method ranked #1 with a multi-object tracking accuracy (MOTA) of 54.1±13.0%
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Related Links
  • Dahua and Intel introduces AI NVR based on FPGA technology in a session at IFSEC 2018
  • Dahua launches deep-learning powered Network Video Recorder with Artificial Intelligence features
  • Dahua launches DHI-IVS-F7500-P distributed face recognition server for smart security management
  • Dahua demonstrates AI, intelligent transportation and thermal technologies at China-CEE Local Cooperation Exhibition

As shown on the Multiple Object Tracking (MOT) Benchmark’s official website, Dahua Technology TRK Method set a world record and took the 1st place in multiple pedestrian tracking challenges on August 2nd, 2018 - with a multi-object tracking accuracy (MOTA) of 54.1±13.0%.

Multiple Object Tracking Technology

Multiple Object Tracking (MOT) is an algorithm testing platform jointly established by Eidgenössische Technische Hochschule Zürich, the University of Adelaide and Technische Universitat Darmstadt. The benchmark is for performance evaluation of multiple pedestrian tracking algorithms in video surveillance scenes. As one of the most professional evaluation platform within the tracking field, MOT has attracted the continuous participation of numerous top-ranking AI companies and academic institutions.

Multiple object tracking technology handles trajectory association of all target objects in a video sequence

Object tracking technology is a core technology of video structured analysis. The principle is to use the initial target positioning information to complete the association of the same target in the time series, and complete the behavior discrimination and analysis according to the associated information. Multiple object tracking technology handles trajectory association of all target objects in a video sequence.

Target detection & face recognition

To prepare for this competition, Dahua Technology has upgraded the deep learning multiple object tracking algorithm frame based upon the advantages of target detection, face recognition, search by image and other algorithms. Using current methods such as feature reuse, together with multi-model fusion technology, the tracking performance has been greatly improved. Better solving problems such as obscuration, deformation, light changes, random motion, and excessive movement, Dahua Technology’s object tracking technology has been widely applied to newly launched intelligent products, especially cameras, NVRs and servers that are based upon video data structured algorithms.

Innovation is a company’s foundation of development, and also its source of power. This world record in MOT challenge marks Dahua Technology’s world leading position in object tracking field. With a mission of 'Enabling a Safer Society and Smarter Living', Dahua will continue to focus on 'Innovation, Quality, and Service', to serve partners and customers around the world.

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