Police Conduct Gait Analysis To Match CCTV Footage

Reporting by Indian Express, India Today, CNBC-TV18, and ANI states that Pune Rural Police plan to conduct a forensic gait analysis of accused Chetan Chaudhary to compare his walking pattern with CCTV footage from Lohagad Fort. Indian Express quotes a senior police officer: "Chaudhary would be dressed in his original Hoodie attire and made to walk again at the same spot at Lohagad Fort, and the new video-recorded walk would be compared with that of CCTV footage recorded on June 18. Using AI tools, we will analyse the similarity, and it will help confirm his presence." ANI reports police have recovered a hoodie, headphones, and the accused's two-wheeler, and that investigators earlier brought co-accused Siya Goyal to the fort for a reconstruction exercise. India Today and Indian Express report the Vadgaon Maval court remanded both accused to police custody until July 3.

Gait analysis used in law enforcement typically compares kinematic and spatiotemporal features that remain relatively stable even when a subject's face is occluded, including stride length, cadence, posture and torso rotation, arm swing, and relative joint angles. The planned controlled reenactment is standard practice: fixing camera viewpoint, sampling rate, and clothing conditions improves feature-extraction consistency. Even so, algorithms that return high similarity scores under matched capture conditions can behave inconsistently when clothing, camera angle, frame rate, or footwear differ between the reference and comparison video.

Gait is a soft biometric: peer-reviewed research and forensic guidelines treat gait features as probabilistic rather than uniquely identifying the way fingerprints are. In comparable forensic cases, gait-match scores are typically treated as supporting evidence rather than sole proof, and courts and defense teams commonly scrutinize chain-of-custody, capture conditions, algorithm transparency, and false-match rates. Teams building biometric or surveillance models for legal contexts should document preprocessing steps, quantify uncertainty, and produce reproducible, interpretable outputs, since opaque scoring invites both legal challenge and public scrutiny.

Reporting does not disclose which specific gait-matching tool or model investigators will use. Worth tracking: whether police publish similarity scores or an expert report describing feature extraction and error rates; whether the raw CCTV and reenactment video are disclosed; any defense challenges on admissibility; and whether independent forensic analysts are allowed to review the pipeline, since each of these materially affects the evidentiary weight of the match.